Data Bricks Engineer with AWS - Local to MA

• 12 years of overall experience in Scala/Spark data engineering and data pipeline design.
• Strong hands-on experience with Scala and Apache Spark programming.
• Strong SQL skills, including complex queries, joins, aggregations, and query optimization.
• Hands-on experience designing and developing data ingestion pipelines, ETL pipelines, and data processing jobs.
• Experience with AWS services and cloud-based data engineering solutions.
• Strong understanding of distributed data processing, data transformations, and pipeline architecture.
• Experience troubleshooting and optimizing Spark applications and data workflows.
• Strong analytical, problem-solving, and communication skills.
• Ability to participate in technical coding assessments and explain implementation decisions.

Preferred Skills

• Hands-on experience with Databricks.
• Experience configuring and managing Databricks workspaces and clusters.
• Experience with Databricks job scheduling and workflow management.
• Experience developing and maintaining production-grade ETL and ingestion pipelines in Databricks.
• Familiarity with data quality, pipeline monitoring, and production support practices.