เงื่อนไขการค้นหา

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Professional publications, Personal networks, Industry trends, Windows Server, Graphic Design

ประเภทงาน:

งานประจำ

• Minimum 5 years' experience in IT Management.
• Good knowledge of IT Best Practices, IT Industry trends, and Helpdesk Operations.
• IT Technical Skills in Windows infrastructure platform, Network and Security systems, Database management, CCTV, PABX, and Web-based applications.
• Knowledge of database concept (DB2, MS-SQL, MS-Access), mobile technology and tools, graphic design tools, or web programming tools will be an advantage.
• Prior experience in SAP administration would be a plus.
• Eager to learn and adapt new ideas.
• Strong analytical and problem-solving skills.
• Good attitude, responsible, and resourceful.
• Computer skills.
• Database concept (DB2, MS-SQL, MS-Access), mobile technology and tools, graphic design tools, or web programming tools, Windows infrastructure platform, Network and Security systems, Database management, CCTV and PABX.
• Recommend information technology strategies, policies, and procedures by evaluating organization outcomes; identifying problems; evaluating trends; anticipating requirements.
• Maintain organization's effectiveness and efficiency by defining, delivering, and supporting strategic plans for implementing information technologies.
• Direct technological research by studying organization goals, strategies, practices, and user projects.
• Complete projects by coordinating resources and timetables with user departments and data center.
• Verify application results by conducting system audits of technologies implemented.
• Preserve assets by implementing disaster recovery and back-up procedures and information security and control structures.
• Accomplish financial objectives by forecasting requirements; preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective action.
• Maintain quality service by establishing and enforcing organization standards for the company and affiliated companies.
• Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
• Contribute to team effort by accomplishing related results as needed.
• Manage the IT infrastructure operations and SAP system.
• Provide orientation to new users of existing technology.
• Configure and manage Windows Server OS and Linux OS, Active Directory, DHCP, DNS, WINS, Group Policy, Anti-Virus, etc.
• Install, troubleshoot and maintain hardware, application software, multi-site network for LAN/WAN, network security infrastructure, router, firewall, CCTV, PABX, etc.
• Manage company applications (SAP, Payroll, Attendance, and other applications), website and web applications.
• Other tasks as assigned Including orders, regulations, laws related to duties.

ทักษะ:

Architecture, MongoDB, Jenkins, Python, Kafka, MySQL, ETL, English

ประเภทงาน:

งานประจำ

• Databricks on AWS (Unity Catalog, Delta) across Thailand and Indonesia, prod and non-prod workspaces.
• our Python/PySpark (Spark Connect) batch framework pulling from operational databases (Postgres, MySQL, MSSQL, DB2, MongoDB) into Delta - and pushing back out: hash-diff incremental reverse-ETL from the lakehouse into operational Postgres serving live systems, plus Kafka (Avro/Confluent) streams.
• layered medallion architecture for Thailand and Indonesia, tested and CI-gated.
• Data Governance.
• End to End data governance across Thailand and Indonesia.
• Terraform/Terragrunt for infrastructure, Databricks Asset Bundles for jobs and schedules, Jenkins for CI/CD. If it isn't in git, it doesn't exist.
• Design, build, and operate batch and incremental pipelines end-to-end - from source system to the table an underwriter's dashboard reads.
• Extend frameworks rather than write one-offs: when you solve a problem, the next ten sources get the solution for free.
• Own data quality and reliability: tests, monitoring, SLAs, and the root-cause analysis when something breaks at 7am.
• Model insurance data (policies, claims, members, payments) so analysts and data scientists can trust and reuse it.
• Partner directly with data scientists, analysts, and business stakeholders across four business entities and two countries.
• Review more code than you write - including code written by AI. We work AI-assisted by default.
• Mentor other engineers and raise the team's bar for design and operational discipline.
• 5+ years building production data systems, with at least one system you owned end-to-end (design build operate evolve).
• Expert SQL and solid data modeling - dimensional and lakehouse/medallion patterns, and the judgement to know when each applies.
• Strong Python engineering: typed, tested, reviewable code - not just notebooks.
• Production experience with Spark and a lakehouse platform (Databricks strongly preferred) or equivalent scale elsewhere.
• Real understanding of incremental processing: CDC, merge/upsert semantics, idempotency, late-arriving data, backfills.
• Operational depth: you've debugged pipelines under pressure and can tell the story of a root cause you found.
• Fluency with AI coding tools.
• and.
• a track record of catching their mistakes. We don't screen AI out of our hiring process - we screen for people who use it well.
• Clear written and spoken English - it's our working language, and much of our design work happens in documents and PRs.