Senior Data Engineer - SQL

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.
• Strong 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