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