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**