Remote
Full Time
We are seeking a Senior AWS Data Engineer to design, build, and optimize large-scale data pipelines and analytics solutions using AWS services and Databricks. The role involves end-to-end data engineering, automation, performance tuning, and collaboration with cross-functional teams.
• Build scalable ETL/ELT data pipelines using AWS and Databricks.
• Develop ingestion, transformation, and processing workflows using PySpark.
• Optimize data models, Delta Lake architecture, and pipeline performance.
• Integrate data from diverse structured/unstructured sources.
• Implement CI/CD, version control, and automation for data workflows.
• Ensure data quality, reliability, and governance compliance.
• Work with analytics, product, and engineering teams on data solutions.
• AWS
• Databricks
• PySpark
• ETL
• DeltaLake
• SQL
• S3
• Glue
9NEXUS
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