- 7+ years of hands-on Data Engineering experience. Strong expertise in SQL and Python. Hands-on experience with Snowflake and modern data warehousing. Strong experience with ETL/ELT, data modeling, and data pipeline development. Experience with AWS, Azure, or GCP. Hands-on experience with Databricks / Apache Spark / PySpark. Experience with Apache Airflow or other orchestration tools. Knowledge of Kafka / streaming, CDC, incremental loads, and SCD. Experience with dbt and modern ELT practices. Good understanding of Git, CI/CD, Terraform, data quality, monitoring, and cloud security. Robust troubleshooting, performance optimization, and production support experience.

### Good to Have

Experience with Delta Lake / Apache Iceberg. Snowflake features such as Snowpipe, Streams, Tasks, Dynamic Tables, and Time Travel. Experience with Docker/Kubernetes and cloud-native architectures. Exposure to data governance, lineage, observability, and GenAI/ML data pipelines.* Strong communication, technical leadership, and mentoring skills.

### Core Tech Stack

SQL | Python | Snowflake | Databricks | Spark/PySpark | AWS/Azure/GCP | Airflow | Kafka | dbt | Git | CI/CD | Terraform

📌 Senior Data Engineer - SQL (Mumbai)
🏢 Talentgigs
📍 Mumbai