Data Engineer (ETL)

- Design & Develop: Build, test, validate, and maintain robust AbInitio graphs and workflows to support large‑scale data pipelines.

- Operational Support: Monitor batch jobs on AbInitio servers, diagnose failures or performance bottlenecks, and apply timely fixes.

- Data Integration: Implement data extraction, transformation, and load routines across multiple databases and APIs, ensuring efficiency and scalability.

- Data Quality Assurance: Define and enforce data validation rules, perform profiling and cleansing to uphold data integrity.

- Knowledge Management: Author and maintain clear documentation—standard operating procedures, runbooks, and reusable components—to streamline team onboarding and handovers.

Qualifications

- SQL Expertise: Advanced skills in writing complex queries, crafting efficient joins, and applying indexing strategies for optimal performance.

- Linux Proficiency: Comfortable with command‑line navigation, shell scripting (e.g., bash), process management, and file‑permission controls.

- Database Fundamentals: Solid grasp of relational design (normalization), transaction handling, backup/recovery processes, and performance tuning.

- Bonus: Familiarity with ETL best practices or hands‑on experience with other integration tools (e.g., Informatica, DataStage) is a plus.

- Fresh graduates are welcome.