Job Description N 7+ years of hands-on **Data Engineering** experience. N Strong expertise in **SQL and Python**. N Hands-on experience with **Snowflake** and modern data warehousing. N Strong experience with **ETL/ELT, data modeling, and data pipeline development**. N Experience with **AWS, Azure, or GCP**. N Hands-on experience with **Databricks / Apache Spark / PySpark**. N Experience with **Apache Airflow** or other orchestration tools. N Knowledge of **Kafka / streaming, CDC, incremental loads, and SCD**. N Experience with **dbt**and modern ELT practices. N Good understanding of **Git, CI/CD, Terraform, data quality, monitoring, and cloud security**. N Robust troubleshooting,performance optimization, and production support experience.
Nn### Good to Have Nn Experience with **Delta Lake / Apache Iceberg**. N Snowflake features suchas **Snowpipe, Streams, Tasks, Dynamic Tables, and Time Travel**. N Experience with **Docker/Kubernetes** and cloud-native architectures. N Exposure to **data governance, lineage, observability, and GenAI/ML data pipelines**. N Strong communication, technical leadership, and mentoring skills. Nn### Core Tech Stack N**SQL | Python | Snowflake | Databricks | Spark/PySpark | AWS/Azure/GCP | Airflow | Kafka | dbt | Git | CI/CD | Terraform**