* 7+ years of hands-on **Data Engineering** experience. * Robust 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**