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 .