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ด่วน! Our client is looking for many Data Engineers (ทำ Data Pipeline และ data migration to modern cloud technology Spark/Databrick) Start with 6-months contract! ที่ Soilfish เราและ partner สร้าง software/web/app/AI platforms สำหรับผลิตภัณฑ์ IT brand ใหญ่ๆเช่น Bitkub, Krungthai AXA, PTT, TrueIDC, Gamiqo, SCBLife, Chubb, ... ด้วยเครื่องมือสมัยใหม่ และการบริหารโปรเจคแบบ Agile Scrum ทำงานผ่าน Slack, Jira, BitBucket, Confluence, ... Responsibilities: End-to-End Pipeline & Logic Migration: Data Ingestion & Pipeline Design: Design and develop scalable data pipelines to ingest data from various source systems into a Cloud-based Modern Data Platform. Legacy Code Transformation: Convert and modernize legacy ETL logic (e.g., legacy scripts, stored procedures, or specialized ETL tools) into high-performance Spark/Databricks frameworks using automation tools. Logic Optimization: Refine and optimize transformed code to ensure business logic consistency and performance efficiency in the new environment. Comparative Data Validation: Perform rigorous data reconciliation between legacy and modern platforms to ensure 100% data integrity (validating record counts, distinct values, and numeric balances). Integration & Delivery: Downstream Enablement: Develop standardized "Common Views" and data access layers to facilitate seamless integration for multiple downstream applications. Access Control Implementation: Apply Role-Based Access Control (RBAC) and data security policies to ensure secure and governed data access. Technical Troubleshooting: Investigate and resolve complex logic discrepancies and technical issues during integration and User Acceptance Testing (UAT) phases. Qualifications and Experiences: 3+ years in Data Engineering, with a proven track record in Data Migration or Modernization projects. Strong proficiency in Apache Spark (PySpark/Scala) and SQL within a Databricks or similar cloud data platform environment. Experience in large-scale data reconciliation and automated testing methodologies. Familiarity with cloud data services and security frameworks (RBAC, Data Encryption, and Governance). Strong root-cause analysis skills to identify and fix data or logic anomalies between disparate systems. Ability to collaborate with cross-functional teams and application owners to gather requirements and support integration efforts. Location: Bangkok >
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.