10+ years of experience in Data Engineering, Data Warehousing, or Big Data development.
5+ years of hands-on experience with Databricks, Python, and PySpark.
Strong hands-on experience in Databricks, Python, and PySpark development.
Experience building and supporting large-scale ETL/ELT data pipelines.
Strong knowledge of Spark SQL, Delta Lake, and Data Lakehouse architecture.
Experience working with structured and unstructured data from multiple sources.
Strong SQL skills and experience with relational databases.
Experience with data modeling, data transformation, and data quality processes.
Knowledge of orchestration tools such as Airflow, ADF, or similar.
Experience with Git, CI/CD, and Agile development methodologies.
Strong analytical, debugging, and performance tuning skills.
Excellent verbal and written communication skills.
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![Senior Data Engineer (Azure Data Factory Databricks, PostgreSQL, Python) -(USC or GC only) - Lo[.]](https://pcdns.recruit.net/2.0/big-logos-100/10/1028156.png)
