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Skills:

ETL, Big Data

Job type:

Full-time

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

Job type:

Full-time

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

Skills:

DevOps, Apache, Web Services

Job type:

Full-time

• Deploy application packages to servers, copy/move files, and monitor log files to ensure successful deployment.
• Provide standby support and monitor server performance/logs during scheduled deployment windows.
• Assist in reviewing, analyzing, and remediating Vulnerability Assessment (VA) and Penetration Testing (Pentest) scan results.
• Manage, renew, and install SSL certificates for various servers and Apache Tomcat instances to ensure secure connections.
• Maintain and support infrastructure environments spanning both On-Premise data centers and Amazon Web Services (AWS)..
• Develop, maintain, and troubleshoot basic Linux shell scripts or batch files to automate routine operational tasks.
• Assist in writing or modifying application logic using Java to support system integrations or batch processing.
• Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.
• 2 years of experience in System Administration, DevOps, or Infrastructure support.
• Familiarity with Java programming and Linux Shell Scripting (Bash/Batch).
• Good command of Linux/Unix environments and basic command-line operations (e.g., file manipulation, reading logs, process management).
• Basic understanding of Apache Tomcat or similar Java web application servers.
• Exposure to cloud platforms, specifically AWS (EC2, S3, etc.), is a strong plus.
• Basic knowledge of networking concepts, particularly SSL/TLS certificates and configuration..
• Highly motivated to learn new technologies and follow operational guidelines.
• Good analytical skills to troubleshoot basic system and script errors..
• Please note that we will get in touch with shortlisted candidates only.
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• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• 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.

Skills:

Data Analysis, SQL, Linux, English

Job type:

Full-time

• Support incident management and assist in troubleshooting production issues; participate in Root Cause Analysis (RCA) and help implement preventive actions to reduce recurring incidents.
• Support the defect management lifecycle, including defect triage, tracking, and analysis to drive continuous improvement.
• Monitor application performance and system health using tools such as Dynatrace, and work with development teams to improve system reliability.
• Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
• Collaborate with teams to ensure stable operations, support system releases, user manuals, and maintain documentation.
• Participate in knowledge sharing and continuously develop technical skills and best practices.
• Effectively handle multiple tasks and work under pressure while maintaining quality.
• QualificationsBachelor's degree in Computer Science, Computer Engineering, or related fields.
• 1-3 years of experience in Application Support, Production Support, or related roles..
• Knowledge of Cloud platforms; AWS knowledge is a plus.
• Familiarity with Linux/Unix operating systems.
• Familiarity with relational databases and SQL.
• Strong problem-solving and analytical skills.
• Good communication and collaboration abilities.
• Ability to work under pressure in production environments.
• Strong sense of ownership and accountability.
• Good English communication skills.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/bprivacynoticeen).
• 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.

Job type:

Full-time

• About the Role.
• We're looking for a Data Analyst Junior or Senior to join our MarTech & Data Intelligence team. You'll work with Marketing, Operations, and Product to turn behavioral and transactional data into insights that drive campaign performance, smarter segmentation, and lifetime value growth.
• If you're sharp, meticulous, and energized by making data work harder for the business we'd love to meet you.
• Analyze customer journeys, marketing funnel performance, and campaign effectiveness across digital channels.
• Build and maintain marketing dashboards and intelligence reports to accelerate insight delivery for stakeholders.
• Develop and maintain customer segmentation models and audience definitions to support campaign, strategy, personalization, and lifecycle marketing.
• Use AI tools, prompt engineering, and LLM integrations to turn hours of reporting into minutes.
• Work with cloud data platforms to query, process, and manage large-scale customer and event datasets.
• Design and evaluate A/B tests and marketing experiments, synthesizing results into clear and actionable recommendations.
• Partner with MarTech, Marketing and Product teams to define tracking requirements and validate data from campaign and marketing platforms.
• Perform rigorous data quality checks and maintain clear documentation of metrics, data sources, and transformation logic.
• Proactively surface anomalies in customer data traffic drops, conversion shifts, attribution gaps before they affect decisions.
• Who you are.
• 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products.
• Strong SQL skills able to write complex queries confidently and always validate output before sharing with stakeholders.
• Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing.
• Experience in prompt engineering or LLM integrations applied to real analytics use cases.
• Familiarity with cloud platforms for querying and managing large-scale datasets.
• Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis.
• Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs.
• Ability to manage shifting priorities and deliver accurate work under deadline pressure.
• Clear communication skills with both technical and non-technical stakeholders.
• Contact: K.Wannaporn 02------866.
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