Data Engineer

One of our clients within the Financial Services space is looking for a full-time Data Engineer to support their organization. This position is part of the Enterprise Data & Analytics Capability team under Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform. Day to day responsibilities include the following:

• Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.)
• Write clean, efficient and maintainable PySpark or SQL code for data transformation
• Design robust data models for analytics and reporting
• Ensure data quality, consistency, and governance
• Handle batch and streaming data workflows
• Provide architectural guidance and support in platform usage
• Drive best practices in data engineering across the team
• Monitor and optimize performance of Spark jobs and cluster usage
• Ensure compliance with security and data privacy standards

• Bach Degree in IT related field

• Databricks

• Experience programming and working with a big data platform

• Strong background working with large data sets o Likely need to come from a larger enterprise company who has large sets of data

• Python

• SQL

• Experience with CI/CD pipelines and version control tools

Nice to Have Skills & Experience

• Experience with data visualization tools and BI platforms
• Certification in Databricks or relevant cloud platforms

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.