Data Engineer

Experience: 2–10 Years
Levels: Junior | Mid-Senior | Senior

Required Skills

• SQL: Expert-level SQL, including complex queries, performance tuning, data modeling, reconciliation, and warehouse optimization.

• Python: Advanced Python for ETL development, automation, orchestration, and data quality validation.

• PySpark: Advanced PySpark for large-scale distributed data processing and transformation.

• Shell Scripting: Experience in workflow automation, deployment, monitoring, and operational support.

• Java/Scala (Preferred): Knowledge of data engineering frameworks, Spark-based development, and platform integrations.

• Cloud Platforms: Experience with any cloud platform; GCP preferred. Knowledge of BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, and Cloud Composer (Airflow).

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 26 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.