Required:

Technical Skills:

- 10+ years of experience in data engineering or backend data systems
- Strong proficiency in Python (production-grade code, testing, packaging)
- Advanced SQL skills (complex joins, window functions, performance tuning)
- Hands-on experience with Databricks and Apache Spark
- Strong experience with Snowflake (data modeling, performance optimization)
- Experience working with AWS S3 or equivalent cloud object storage
- Hands-on experience with job schedulers/orchestrators (Airflow, Databricks Jobs, Prefect, etc.)

Data Engineering Best Practices

- Experience designing ETL / ELT pipelines
- Knowledge of data warehousing concepts (star/snowflake schemas)
- Experience implementing incremental loads, CDC, and backfills




- Understanding of data security, access control, and governance

Valuable to have:

- Experience with CI/CD for data pipelines
- Familiarity with Terraform or infrastructure-as-code
- Experience with streaming technologies (Kafka, Kinesis)
- Knowledge of data quality frameworks (Great Expectations, dbt tests)
- Experience in high-volume, high-availability data environments
- Experience in multi-cloud or hybrid environments
- Exposure to ML feature pipelines
- Familiarity with data cataloging and lineage tools

📌 Senior Data Engineer (Pune)
🏢 Cybage Software
📍 Pune