Our customer in the Financial Industry is looking to bring on a Data Engineer to support their efforts to build an Enterprise Data Warehouse. The team is expanding rapidly and are in need of a candidate that has strong experience writing Python/Pyspark as well as experience creating models using PowerBI for visualizations. This role will be 50/50 Engineering and Visualization.
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A bachelors or masters degree in data Analytics, Business Intelligence, Computer Science, or informatics.
3+ years of experience in data engineering, in data analytics, business intelligence, or visualization development.
Proven expertise in Python development or Pyspark
Proven experience utilizing PowerBI for visualization and model development
Experience working with large datasets and ensuring efficient data processing.
Excellent communication skills to translate technical findings into business-friendly insights.
Willingness to go onsite 5 days a week
Benefit packages for this role will start on the 31st 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.