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Senior Data Engineer (Databricks or SnowFlake)

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Senior Data Engineer

We are looking for a Senior Data Engineer with strong experience in Python, SQL, ETL/ELT, Databricks, and Snowflake to design, develop, and maintain scalable data pipelines and data engineering solutions.

Qualifications

  • 8+ years of experience in Python, SQL, ETL/ELT, Databricks, and Snowflake.

OR

  • 5+ years of relevant experience in:

    • ETL/ELT development using Python, PySpark, and SQL

    • Data orchestration using MWAA (Managed Workflows for Apache Airflow) / Airflow DAGs

    • Azure services and cloud-based data engineering

    • Data pipeline development and optimization

    • Data quality and reconciliation frameworks

    • Data modeling fundamentals

    • Git and CI/CD practices

Key Skills

Python | PySpark | SQL | ETL/ELT | Azure | Databricks | Snowflake | Data Pipelines | Data Quality | Data Reconciliation | Data Modeling | Git | CI/CD

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →

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