Implement data pipeline automation using CI/CD practices.

Monitor data jobs and resolve failures or performance issues.

Enable consumption of data by:

• BI tools and dashboards

• Data science / advanced analytics teams

• Custom applications and APIs

Profile:

·  Strong experience in data engineering concepts, ETL/ELT design, and data modeling.

·  Proficiency in one or more programming languages:

• Python, SQL (mandatory)
• Java / Scala (good to have)

·  Advanced SQL skills for data transformation and analysis.

Data Platforms & Storage

• Design and manage data lakes / data warehouses.
• Optimize data models for reporting, analytics, and performance.
• Work with structured and semi‑structured data formats (CSV, JSON, Parquet, etc.).

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