Data Engineer with strong experience in Databricks and Python to work on large-scale data platforms and analytics solutions. This role requires hands-on development and close collaboration with business and technology teams in a fully onsite environment.
Key Responsibilities:
Design, build, and maintain scalable data pipelines using Databricks and Python
Develop and optimize ETL/ELT processes for large, complex datasets
Work with structured and semi-structured data from multiple sources
Collaborate with data architects, analysts, and stakeholders to deliver data solutions
Ensure data quality, performance, and reliability across pipelines
Support production deployments, monitoring, and issue resolution
Follow best practices for data engineering, security, and compliance standards
Required Skills & Qualifications:
Strong experience as a Data Engineer
Hands-on expertise with Databricks
Strong Python development skills
Experience with Spark and distributed data processing
Solid understanding of data modeling and data warehousing concepts
Experience working in enterprise environments
Preferred Qualifications:
Experience with JPMC or other large financial institutions
Experience working with Deloitte or similar consulting firms
Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform)
Experience with SQL and performance tuning
CST provides its clients with complete, cost-effective, end-to-end personnel solutions across a range of industrial domains. CST's mission is to empower businesses around the world to make better, faster operational decisions.
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