Job Description
Job DescriptionJob Overview: Pay Range: $52hr - $58hr Responsibilities:
- Develop and optimize ETL/ELT pipelines using Databricks and Apache Spark.
- Build scalable data solutions on Azure using Databricks.
- Ensure data quality, reliability, and performance across all workflows.
- Collaborate with IT and Business teams to deliver curated datasets.
- Automate workflows using Databricks Jobs, Workflows, and CI/CD.
- Implement best practices in data governance, security, and monitoring.
Required Skills:
- Strong experience with Databricks, Spark (PySpark/Scala), and SQL.
- Hands on experience with cloud platforms (Azure/AWS/GCP).
- Knowledge of Delta Lake, data modeling, CDC and distributed data processing.
- Familiarity with Git, CI/CD pipelines, and workflow orchestration.
- Solid understanding of data architecture and performance optimization.
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.