āđāļĄāđāļĄāļĩāļāļģāđāļŦāļāđāļāļāļēāļāļŠāļģāļŦāļĢāļąāļāļāļĢāļīāļĐāļąāļāļāļĩāđ āļāđāļāđāļāļāļĩāđāđāļāđāļāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāļāļļāļāļāļēāļāļāļ°āļŠāļāđāļ
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
- Brainstorm and plan content ideas for Facebook, Instagram, TikTok, LinkedIn.
- Support photo/video shoots including behind-the-scenes coordination and setup.
- Create visuals and draft captions that fit campaign objectives and brand identity.
- Assist in producing short-form videos using tools like CapCut or Premiere.
- Learn to use AI-driven tools for both creative visuals and written content.
- Help with campaign reporting by collecting performance insights.
- Basic skills in Canva, CapCut, or Adobe Creative Suite.
- Strong communication and organizational skills.
- Able to work independently while collaborating in a small team.
- Interest in social media trends, branding, and storytelling.
- Why Join Us?.
- Work with top employers and leading brands in Thailand.
- Gain real-world experience in both content creation and campaign execution.
- Learn how to push creative boundaries with new tools and strategies.
- Be mentored by a passionate team that values quality, data-driven insights, and impactful storytelling..
- Why Join Us?.
- At WorkVenture, you ll be part of a team that s shaping how companies are seen as great places to work. This role gives you the chance to push creative boundaries and grow with a team that values quality and impactful storytelling.
āļāļąāļāļĐāļ°:
Procurement, Negotiation, Problem Solving
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Strong customer engagement skills to develop into a Trusted Advisor within an large, enterprise client.
- Service delivery understanding and value-management mindset, with focus on project-managing PE services delivery as TQM: resourcing, staffing, scope mgmt, risk and issues mgmt, escalation management.
- Understanding an overall enterprise architecture across private cloud, SaaS, and on-premise solutions including integration.
- Business acumen and business understanding: ACV (annual contract value) contract renewal, solutioning, procurement, customer retention, managing P&L on contract level.
- Working as a core member of a virtual account team and orchestrating cross-account internal governance.
- Analysis of customer situation and requirements, including business requirements, program/project, IT, transformational, architecture, development, infrastructure, and operational topics.
- Engagement governance, executive reporting & presentations,.
- Gain or have previous experience in design, implementation, and change management projects.
- Facilitation, negotiation, and de-escalation skills.
- EDUCATION AND QUALIFICATIONS/SKILLS AND COMPETENCIES Bachelor s degree, or equivalent tertiary study.
- 0-3 years' work experience with customer facing roles.
- Team player with ability to work independently and take ownership of assigned tasks.
- Good listener with excellent communication skills, empathetic, collaborative.
- Resourceful self-starters with strong interpersonal skills who are eager learners.
- Interested in technology, innovation, and how digital platforms can solve business challenges.
- Problem-solvers who are ambitious, passionate, resilient, proactive, open-minded, and able to manage pressure.
- EXPECTATIONS AND TASKSLearn and understand the Customer Services & Delivery portfolio for the respective solution areas and delivers according to service specifications.
- Conduct job rotations relevant to the intended role with various teams within the business whilst meeting performance requirements.
- Case studies, classroom and self-paced learnings with a mix of technical and soft skill topics and on the job training.
- Work on relevant projects that demonstrate your communication and interpersonal skills, as well as a strong work ethic that delivers high quality outcomes.
- Demonstrate problem solving, time management, and communication skills through a range of activities during training and on the job rotations.
- Build and maintain relationships with internal and external stakeholders.
- Display effective communication skills to handle and explain customer situations (to both business end users and SAP technical/ functional consultants).
- Adapt to knowledge on new technologies in a consistently dynamic and changing environment.
- Be responsible for driving the clean core on BTP, innovation adoption and business transformation at scale for customer.
- Work with partners, customers and internal SAP teams to enforce adoption of Rise with SAP methodology and associated tools like CALM, Signavio, LeanIX, BTP etc. to make the best usage of the investment of end customers.
- WHAT YOU GET FROM US Success is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you re searching for a company that s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment - apply now.
- Bring out your best
- SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
- We win with inclusion.
- SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
- SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected].
- For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
- Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
- Successful candidates might be required to undergo a background verification with an external vendor.
- AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.Please note that any violation of these guidelines may result in disqualification from the hiring process.
- SAPNextGen.
āļāļąāļāļĐāļ°:
Microsoft Office, Excel
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļīāļŦāļēāļĢāļāļēāļĢāļāļĢāļ°āļŦāļĒāļąāļāļāđāļāļāļļāļāđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļāļĨāļĒāļļāļāļāđāļāļēāļĢāļāļąāļāļŦāļēāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļīāļāļāļēāļāļāđāļāļĄ, āļāļēāļĢāļāļĢāļīāļāļēāļĢāļāļāļāļāļāļāđāļāļĢ (āļāļēāļĢāđāļāļīāļāļŠāļēāļāļēāļāļļāļĢāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ) āļāļļāļāļāļĢāļāđāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļŦāļēāļĢ, āļāļĢāļĢāļāļļāļ āļąāļāļāđāļāļēāļŦāļēāļĢ, āļāļāļāđāļĨāļ°āļāļļāļāļāļĢāļāđāđāļāļāļēāļĢāđāļāļīāļāļŠāļēāļāļēāđāļĨāļ°āļāļ·āđāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļĢāļąāļāļĐāļēāļāļ§āļēāļĄāļŠāļąāļĄāļāļąāļāļāđāļāļąāļāļāļđāđāļĄāļĩāļŠāđāļ§āļāđāļāđāļŠāđāļ§āļāđāļŠāļĩāļĒāļāļēāļāļāļļāļĢāļāļīāļāđāļĨāļ°āļāļąāļāļāļĄāļīāļāļĢāļāđāļēāļāļāļēāļĢāļāļąāļāļŦāļēāđāļāļīāļāļāļĨāļĒāļļāļāļāđāđāļāļ·āđāļāļāļĢāļąāļāļāļĢāļļāļāļāļĨāļĨāļąāļāļāđāļāļēāļāļāļļāļĢāļāļīāļ.
- āļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļŦāđāļ§āļāđāļāđāļāļļāļāļāļēāļāđāļĨāļ°āļāļđāđāļĨāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļĄāļāđāļāļāļģāļŦāļāļāļāļēāļāļāļāļŦāļĄāļēāļĒāđāļĨāļ°āļāđāļāļāļąāļāļāļąāļāđāļāļāļīāļāļāļĢāļĢāļĄāļāļēāļĢāļāļąāļāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāđāļēāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļāļāļļāļĢāļāļīāļāđāļŦāđāļŠāļđāļāļŠāļļāļ.
- āļāļģāļŦāļāļāđāļāļāļāļēāļ āđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāļāļąāļāļŦāļē āļāļąāļāļāđāļēāļāļ§āļąāļŠāļāļļāđāļĨāļ°āļāļļāļāļāļĢāļāđāļŦāļĢāļ·āļāļāļĢāļīāļāļēāļĢāļāļēāļĄāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļāļĢāļīāļĐāļąāļ āđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāļāļąāļāļāļ·āđāļāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļĄāļēāļāļĢāļāļēāļāļāļĩāđāļāļģāļŦāļāļ.
- āļĄāļāļāļŦāļĄāļēāļĒāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāđāļŦāđāđāļāđāļāđāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āđāļāļĢāļāļēāļāđāļāļĢāļāļāļĢāļēāļāļēāđāļĨāļ°āđāļāļ·āđāļāļāđāļ.
- āļāļĢāļ§āļāļŠāļāļāđāļāļŠāļąāđāļāļāļ·āđāļ āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļ§āļēāļāđāļāļāđāļāļāļēāļĢāļāļąāļāļāļ·āđāļāļāļąāļāļŦāļēāļŠāļīāļāļāđāļēāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļąāļāļāļģāđāļāļ·āđāļāļāđāļ TOR āđāļĨāļ°āļŠāļąāļāļāļēāļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļąāļāļāļđāđāļāļēāļĒāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļāļĢāļ°āđāļāļĩāļĒāļāđāļĨāļ°āļĄāļēāļāļĢāļāļēāļāļāļĩāđāļāļģāļŦāļāļ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļĢāļąāļāļĐāļēāļāļ§āļēāļĄāļŠāļąāļĄāļāļąāļāļāđāļāļąāļāļāļđāđāļāļēāļĒāļŦāļĢāļ·āļāļāļđāđāļĢāļąāļāđāļŦāļĄāļēāļĢāļēāļĒāļāļąāļāļāļļāļāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĢāļąāļāļāļĢāļļāļ āđāļāđāļāļąāļāļŦāļē āđāļĨāļ°āļāļąāļāļāļēāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļāļāļąāļāļāļ·āđāļāļāļąāļāļāđāļēāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļēāļāļāļąāļāļāļ·āđāļāļŠāļīāļāļāđāļēāđāļŦāđāđāļāđāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒāđāļĨāļ°āļāđāļĒāļāļēāļĒāļāļāļāļāļāļāđāļāļĢ.
- āļ§āļēāļāđāļāļāļ§āļīāļāļĩāļāļēāļĢāļāļąāļāļāļ·āđāļāļāļēāļĢāļŠāļāļāđāļāļĩāļĒāļāļĢāļēāļāļēāļāļāļāļ§āļąāļŠāļāļļāļāļļāļāļāļĢāļāđāļŦāļĢāļ·āļāļāļĢāļīāļāļēāļĢ āđāļāļ·āđāļāļāļ§āļāļāļļāļĄāļĢāļēāļĒāļāđāļēāļĒāđāļĨāļ°āļāļĢāļīāļĄāļēāļāļāļēāļĢāļŠāļąāđāļāļāļ·āđāļāļāđāļāļāļĢāļąāđāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāđāļāļāļēāļĢāđāļāđāļāļēāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļģāđāļŠāļāļāļĢāļēāļāļāļēāļ āđāļĨāļ°āļāļĨāļŠāļĢāļļāļāļāļēāļĢāļāļąāļāļāļ·āđāļāļāļąāļāļāđāļēāļāļāļĢāļ°āļāļģāđāļāļ·āļāļ.
- āļāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāđāļāļŦāļĢāļ·āļāļāļĢāļīāļāļāļēāļāļĢāļĩāļŠāļēāļāļē Supply Chain Management āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļāļāļąāļāļāļ·āđāļ 7 āļāļĩāļāļķāđāļāđāļ āđāļāļāļēāļāļāļąāļāļāļ·āđāļāļ§āļąāļāļāļļāļāļīāļāļāļēāļāļāđāļāļĄāļŦāļĢāļ·āļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāđāļģāļĄāļąāļ&āļāđāļēāļāļŦāļĢāļ·āļāļāļļāļĢāļāļīāļāļāļēāļŦāļēāļĢ, Retail āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđ Microsoft Office āđāļāđāđāļāļĢāļ°āļāļąāļāļāļĩāļĄāļēāļ (āđāļāļĒāđāļāļāļēāļ° Excel pivot/V-lookup).
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļēāļāđāļāļāđāļāļĢāļāļāļēāļĢāđāļāļ·āđāļāđāļŦāđāļāļģāđāļāļīāļāļāļēāļĢāļāļāđāļŠāļĢāđāļāļŠāļīāđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļāļąāļāļāļ·āđāļ āļāļąāļāļāđāļēāļ, āļāļ§āļēāļĄāļĢāļđāđāđāļāļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢ.
- āļĄāļĩāļāļąāļāļĐāļēāļ°āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ āđāļāđāļĄāļāđāļēāļ§ āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļĨāļ°āļāļąāļāļŠāļīāļāđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ (Communication)..
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Monitor and analyze database performance and ensure efficient utilization of database systems.
- Performance tuning and corrective maintenance to assure that database is performing efficiently.
- Perform data backups and developing data recovery plans.
- Perform Database security and integrity controls
- Perform database capacity planning and maintain a database instance.
- Bachelor s degree in computer science or a related information technology field
- At least 2 years of experience as a System and Database administrator.
- Proficiency in database administrator, including MS SQL, MongoDB, Oracle Database or PostgreSQL.
- Analytical mindset and good problem-solving skills.
- Good understand in database design, troubleshooting and maintenance.
- Analytical mindset and problem solving skills.
- Experienced in SQL and PL/SQL.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Operation.
- Thai Nation Only.
- āļāļģāļāļąāļāļāļđāđāļĨāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļ āļēāļāļĢāļ§āļĄāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ (Operation) āļāļāļāļāļļāļĢāļāļīāļāļĢāđāļēāļāļāļēāļŦāļēāļĢ/āđāļāļĢāļ·āđāļāļāļāļ·āđāļĄāđāļāļāļļāļāļĄāļīāļāļī āļāļąāđāļāļāđāļēāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāđāļŦāđāļāļĢāļīāļāļēāļĢ āļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļāļāļĢāļ°āļĄāļēāļ āđāļĨāļ°āļāļēāļĢāļāļĒāļēāļĒāļŠāļēāļāļē āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļāļģāđāļāļīāļāļāļļāļĢāļāļīāļāđāļāđāļāđāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļāļĨāđāļĨāļ°āļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāļāļāļāļāļāđāļāļĢ.
- āļŦāļāđāļēāļāļĩāđāđāļĨāļ°āļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŦāļĨāļąāļ (Key Responsibilities)āļ§āļēāļāđāļāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļēāļāļāđāļēāļ Operation āļāļāļāļāļļāļāļŠāļēāļāļēāđāļŦāđāļāļģāđāļāļīāļāļāļēāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļĨāļ°āļŠāļāļāļāļĨāđāļāļāļāļąāļāļāđāļĒāļāļēāļĒāļāļāļāđāļāļĢ.
- āļāļąāļāļāļēāđāļĨāļ°āļāļģāļāļąāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (SOP), āļāļļāļāļ āļēāļāļāļēāļĢāđāļŦāđāļāļĢāļīāļāļēāļĢ āđāļĨāļ°āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļāļāļĨāļđāļāļāđāļē.
- āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļāļāļĢāļ°āļĄāļēāļ (Budget Management), āļāļ§āļāļāļļāļĄāļāđāļāļāļļāļ āđāļĨāļ°āļāļīāļāļāļēāļĄāļāļąāļ§āļāļĩāđāļ§āļąāļāļāļĨāļāļēāļ (KPIs).
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļģāļāļąāļāđāļāļĢāļāļāļēāļĢāļāļĒāļēāļĒāļŠāļēāļāļē (Branch Expansion & New Opening) āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļŠāļģāļĢāļ§āļāļāļ·āđāļāļāļĩāđāđāļĨāļ°āļāļēāļĢāļāļąāļāļāļąāđāļāļŠāļēāļāļē.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āļĒāļāļāļāļēāļĒ āđāļĨāļ°āļāđāļāļĄāļđāļĨāđāļāļīāļāļāļļāļĢāļāļīāļ āđāļāļ·āđāļāļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļāļąāļāļāļēāđāļĨāļ°āđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļāļĩāļĄāļāļēāļ Operation (āļāļđāđāļāļąāļāļāļēāļĢāđāļāļ/āļāļđāđāļāļąāļāļāļēāļĢāļŠāļēāļāļē) āđāļŦāđāļĄāļĩāļĻāļąāļāļĒāļ āļēāļāđāļāļāļēāļĢāļāļąāļāđāļāļĨāļ·āđāļāļāļāļĨāļĨāļąāļāļāđāļāļēāļāļāļļāļĢāļāļīāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ āđ āđāļāđāļ Marketing, HR, Supply Chain āđāļāļ·āđāļāļāļĢāļĢāļĨāļļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāđāļāļĢ.
- āļĨāļāļāļ·āđāļāļāļĩāđāļāļĢāļ§āļāđāļĒāļĩāđāļĒāļĄāļŠāļēāļāļēāđāļāļāļĢāļļāļāđāļāļāļŊ āđāļĨāļ°āļāđāļēāļāļāļąāļāļŦāļ§āļąāļ āđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļāļļāļāļ āļēāļāđāļĨāļ°āļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ.
- āļāļļāļāļŠāļĄāļāļąāļāļī (Qualifications)āļŠāļąāļāļāļēāļāļīāđāļāļĒāđāļāđāļēāļāļąāđāļ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļ āļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ (āļŠāļēāļāļēāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ).
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļēāļ Operation āđāļāļāļļāļĢāļāļīāļāļĢāđāļēāļāļāļēāļŦāļēāļĢ/āđāļāļĢāļ·āđāļāļāļāļ·āđāļĄ āđāļĄāđāļāđāļāļĒāļāļ§āđāļē 8 āļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļāļĩāļĄāļāļēāļ āđāļāļĢāļ°āļāļąāļāļāļđāđāļāļąāļāļāļēāļĢāļŦāļĢāļ·āļāđāļāļĩāļĒāļāđāļāđāļē.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļđāđāļĨāļŦāļĨāļēāļĒāļŠāļēāļāļē āļŦāļĢāļ·āļāļāļĢāļīāļŦāļēāļĢāđāļāļĢāļ·āļāļĢāđāļēāļāļāļēāļŦāļēāļĢ/āļāļēāđāļāđ āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļ āđāļĨāļ°āļāļ§āļāļāļļāļĄāļāđāļāļāļļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļ§āļ°āļāļđāđāļāļģ āļāļēāļĢāļ§āļēāļāđāļāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āđāļĨāļ°āļāļēāļĢāļāļąāļāļŠāļīāļāđāļāļāļāļāļ·āđāļāļāļēāļāļāđāļāļĄāļđāļĨ.
- āļŠāļēāļĄāļēāļĢāļāđāļāļīāļāļāļēāļāđāļāļāļāļīāļāļąāļāļīāļāļēāļāļāđāļēāļāļāļąāļāļŦāļ§āļąāļāđāļāđāļāļēāļĄāļāļ§āļēāļĄāļāļģāđāļāđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĄāļļāđāļāļĄāļąāđāļāļāđāļāļāļĨāļĨāļąāļāļāđ (Result-Oriented) āđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļāļīāļāļāļąāļāļāđāļāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- Competencies āļāļĩāđāļāļģāđāļāđāļStrategic & Operational Leadership.
- Business & Budget Management.
- Multi-Branch Operations.
- People Management & Team Development.
- Analytical & Problem-Solving Skills.
- Cross-Functional Coordination.
āļāļąāļāļĐāļ°:
Statistics, Big Data, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
- Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
- Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
- Machine Learning & AI.
- Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
- Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
- Problem-Solving & Collaboration.
- Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
- Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
- Technical Expertise.
- Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
- Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
- Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
- Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
- Education & Experience.
- Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
- Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ17,000 - āļŋ22,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļāļāļĢāļąāļāļŠāļēāļĒāđāļāļĢāļĻāļąāļāļāđāļāļēāļāļĨāļđāļāļāđāļēāļāļĩāđāļŠāļāđāļāļŠāļīāļāđāļāļ·āđāļāļĢāļāļĒāļāļāđ/āļĢāļāļĄāļāđāļāļāļĢāđāđāļāļāđ.
- āđāļŦāđāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāļāļāđāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĨāļīāļāļ āļąāļāļāđāļŠāļīāļāđāļāļ·āđāļ āđāļāļ·āđāļāļāđāļ āļāļąāļāļĢāļēāļāļāļāđāļāļĩāđāļĒ āļĢāļ°āļĒāļ°āđāļ§āļĨāļēāļāđāļāļāļāļģāļĢāļ° āđāļĨāļ°āđāļāļĢāđāļĄāļāļąāđāļāļāđāļēāļāđ.
- āđāļŦāđāļāļģāđāļāļ°āļāļģāđāļĨāļ°āļāļģāļāļĢāļķāļāļĐāļēāļāļĩāđāļāļđāļāļāđāļāļāđāļĨāļ°āļĢāļ§āļāđāļĢāđāļ§āļāļēāļĄāļāđāļĒāļāļēāļĒāļāļĢāļīāļĐāļąāļ.
- āļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļīāļāļāđāļāđāļĨāļ°āļāļ§āļēāļĄāļŠāļāđāļāļāļāļāļĨāļđāļāļāđāļēāļĨāļāđāļāļĢāļ°āļāļ CRM āļāļĒāđāļēāļāļāļđāļāļāđāļāļāđāļĨāļ°āļāļĢāļāļāđāļ§āļ.
- āļŠāđāļāļāđāļāļāđāļāļĄāļđāļĨāļĨāļđāļāļāđāļēāļāļĩāđāļĄāļĩāļĻāļąāļāļĒāļ āļēāļ āđāļāļĒāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļ·āđāļāļāļģāđāļāļīāļāļāļēāļĢāļāļąāđāļāļāļāļāļāđāļāđāļ.
- āļāļīāļāļāļēāļĄāļāļĨāđāļĨāļ°āļāļąāļāđāļāļāļŠāļāļēāļāļ°āļāļāļāļĨāļđāļāļāđāļēāđāļāļĢāļ°āļāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļēāļĄāļāļđāđāļĄāļ·āļāđāļĨāļ°āļĄāļēāļāļĢāļāļēāļāļāļēāļĢāđāļŦāđāļāļĢāļīāļāļēāļĢāļāļāļāļāļĢāļīāļĐāļąāļāļāļĒāđāļēāļāđāļāļĢāđāļāļāļĢāļąāļ.
- āļĢāļąāļāļĐāļēāļāļ§āļēāļĄāļĨāļąāļāļāļāļāļāđāļāļĄāļđāļĨāļĨāļđāļāļāđāļēāđāļĨāļ°āļāđāļāļĄāļđāļĨāļāļēāļāļāļļāļĢāļāļīāļ..
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļģāļāđāļāļĄāļđāļĨāļāļĢāļ°āļāļāļ āđāļĨāļ°āļĢāđāļ§āļĄāļāļąāļāļāļģāđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļĢāļāļēāļĒ āļāļīāļĻāļāļēāļ āļāļĨāļĒāļļāļāļāđ āļāļāļāļĢāļ°āļĄāļēāļ āđāļāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļāļāļŠāļīāļāļāđāļēāļāļąāļāļāļģāļŦāļāđāļēāļĒāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāđāļāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ āļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļąāļāđāļāļĨāļĩāđāļĒāļāđāļāļāļāļēāļ āđāļĨāļ°āļĢāđāļ§āļĄāļāļāļāđāļāļāļĢāļēāļĒāļāļēāļĢāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒāļāļāļāļŠāļīāļāļāđāļēāļāļąāļāļāļģāļŦāļāđāļēāļĒāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ āđāļāļ·āđāļāđāļŦāđāļāļĢāļĢāļĨāļļāđāļāđāļēāļŦāļĄāļēāļĒāļāļĩāđāļāļĢāļīāļĐāļąāļāļŊāļāļģāļŦāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢ āđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļ§āļēāļĄāļāļĢāđāļāļĄāļāļāļāļŠāļīāļāļāđāļē (āļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļĢāļŠāļąāđāļāļŠāļīāļāļāđāļē, PR/PO, āļāļēāļĒāļļāļŠāļīāļāļāđāļē āļŊāļĨāļŊ) āđāļĨāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļŠāļāđāļāļāļŠāļīāļāļāđāļēāļāļąāļāļāļģāļŦāļāđāļēāļĒāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ āđāļāđāļĨāļ°āļāļĨāļąāļBRTāļŠāļēāļāļē,āļāļĨāļąāļ Concessionaire, āļĻāļđāļāļĒāđāļāļĢāļ°āļāļēāļĒāļŠāļīāļāļāđāļēāļāļāļāļāļĢāļīāļĐāļąāļāļŊ āđāļĨāļ°āļāļ§āļēāļĄāļāļĢāđāļāļĄāļāļāļāļŠāļīāļāļāđāļēāđāļāđāļĨāļ°āļāļĢāļīāļĐāļąāļāđāļāđāļēāļāļāļāļŠāļīāļāļāđāļē.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļŠāļīāļāļāđāļēāļāļąāļāļāļģāļŦāļāđāļēāļĒāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ āļŠāļāļēāļāļāļēāļĢāļāđāļāļēāļĢāļāļĨāļēāļ āđāļāļ·āđāļ āļāļīāļāļāļēāļĄ āđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļāļąāļāļāļģ āđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļēāļĢāđāļāđāļāļāļāļĢāļ°āļĄāļēāļ āļāļĨāļāļģāđāļĢ-āļāļēāļāļāļļāļ āļāļāļāļŠāļīāļāļāđāļēāļāļąāļāļāļģāļŦāļāđāļēāļĒāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ āđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāđāļĨāļ°āļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļŠāļĢāļļāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āđāļĨāļ°āđāļāļĢāļĩāļĒāļĄāļāļēāļĢāļāļģāđāļŠāļāļāđāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļŠāļīāļāļāđāļēāļāļąāļāļāļģāļŦāļāđāļēāļĒ āļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāļāļĢāļīāļĐāļąāļāļŊāđāļĨāļ°/āļŦāļĢāļ·āļāļāļĢāļīāļĐāļąāļāđāļāđāļēāļāļāļāļŠāļīāļāļāđāļē.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļŠāļīāļāļāđāļēāļāļąāļāļāļģāļŦāļāđāļēāļĒāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļāđāļāđāļāđāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āļĢāļ§āļĄāļāļąāđāļāļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāļāļĢāļīāļĐāļąāļāļŊāđāļĨāļ°/āļŦāļĢāļ·āļāļāļĢāļīāļĐāļąāļāđāļāđāļēāļāļāļāļŠāļīāļāļāđāļē.
- āļāļāļāļŠāļģāļĢāļ§āļāļāļĨāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄāļāļēāļĒāđāļĨāļ°āļāļĢāļīāļĐāļąāļāđāļāđāļēāļāļāļāļŠāļīāļāļāđāļē āđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļŠāļāļēāļāļāļēāļĢāļāđāđāļāđāļāđāļĨāļ°āļāļ·āđāļāļāļĩāđ āđāļĨāļ°āļŠāļĢāđāļēāļāļāļ§āļēāļĄāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩāļāļąāļāļāļĢāļīāļĐāļąāļāđāļāđāļēāļāļāļāļŠāļīāļāļāđāļē.
- āļāļīāļāļāļēāļĄ āļāļĢāļ§āļāļŠāļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļāļĩāļĄāļāļēāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļāļĨ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļāļāļēāļĢāļāļģāļāļēāļāļāļāļāļāļĩāļĄāļāļēāļāđāļŦāđāđāļāđāļāđāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļēāļāļāļ·āđāļāđāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āđāļāļŠāļēāļāļēāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļāļāđāļēāļāļāļēāļĢāļāļēāļĒ/ āļāļēāļĢāļāļĨāļēāļāļŠāļīāļāļāđāļēāļāļĨāļļāđāļĄ FMCG āđāļĄāđāļāđāļāļĒāļāļ§āđāļē 2 āļāļĩ (āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāđāļāļāļēāļāļāļĢāļīāļĐāļąāļāļāļąāļāļāļģāļŦāļāđāļēāļĒāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āđāļāļĢāđāļāļĢāļĄ MS Office āđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļĢāļāđāļāļāļēāļĢāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāļīāļāļāļēāļāđāļāļŠāļģāļĢāļ§āļāļāļĨāļēāļ/āļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāļāđāļēāļāļāļąāļāļŦāļ§āļąāļāđāļāđ.
- Key Competencies.
- āļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļēāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ.
- āļ āļēāļ§āļ°āļāļ§āļēāļĄāđāļāđāļāļāļđāđāļāļģ.
- āļāļēāļĢāđāļāđāļāļąāļāļŦāļēāđāļĨāļ°āļāļąāļāļŠāļīāļāđāļāļāļĒāđāļēāļāđāļāđāļāļĢāļ°āļāļ.
- āļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ.
- āļāļąāļāļĐāļ°āļāļēāļĢāļāļģāđāļŠāļāļ āđāļĨāļ°āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ.
- āļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄ āđāļĨāļ°āļāļģāļāļēāļāļ āļēāļĒāđāļāđāđāļĢāļāļāļāļāļąāļāđāļāđ.
āļāļąāļāļĐāļ°:
Compliance, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead System Analyst assigns to work on Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
- To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
- To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
- To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
- Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
- Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
- Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
- Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
- Ensure security and compliance: access control, PII handling, encryption, and audit logging.
- Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
- Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
- Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
- Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
- Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
- Promote data literacy and a data-driven culture through cross-functional collaboration..
- Apply now if you have these advantages.
- Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
- At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
- Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
- Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
- Proven track record improving pipelines via automation, testing, and performance tuning.
- Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
- Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
- Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
- Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
- Curious, resilient, and critical thinker, open to feedback and continuous improvement.
- Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
- Why join Krungsri?.
- As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
- We offer a striking work-life balance culture with hybrid work policies (2 days minimum in office per week).
- Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
- Apply now before this role is close. **.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
āļāļąāļāļĐāļ°:
Instrument
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Electrical.
- Instrument.
- Mechanical.
- Civil.
- OTHER REQUIREMENTS (FOR RECRUITMENT).
- Requires service mindset, attention to detail, and ability to drive compliance with international standards (API, ASME, IEC, ISO, DEP, TOSS).
- ROLE & RESPONSIBILITY (FOR RECRUITMENT).
- Defining standards and procedures, developing risk assessments, inspection test plans, and checklists across all EPC phases. The role ensures compliance with quality requirements, oversees corrective actions, and maintains complete QA/QC documentation and records. This includes auditing materials, equipment, and storage practices to uphold safety and quality standards. Also conducts training to build awareness, analyzes non-conformance and root causes, and manages project reporting and traceability to ensure overall quality integrity.