Data Warehouse Engineer/Python/ETL


: $83,690.00 - $125,470.00 /year *

Employment Type

: Full-Time


: Information Technology

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A software company, located in King of Prussia, PA, is looking to add a Data Warehouse Engineer to their growing team. My client works with some of the largest pharmaceutical companies in America. As a Data Warehouse Engineer, you will design and implement data warehouse strategy, including building ETL processes as well as implementing and supporting Data Transformation rules engine process and logic through Data Transformation. The ideal candidate will have 4+ years working in Data Transformation platforms and working in Data Warehouse platforms, Python, ETL, SQL, Data modeling and a 4- year degree. Required Skills & Experience Data Transformation Data Warehouse platforms Python ETL SQL Data Modeling 4- year degree Desired Skills & Experience Kafka Storm What You Will Be Doing Tech Breakdown 100% Python Daily Responsibilities 100% Hands On The Offer Competitive Salary: Up to $130k, DOE You will receive the following benefits: Medical Insurance 401(k) Paid Sick Time Leave Pre-tax Commuter Benefit Stock Options Flexible hours On-site Caf On-site gym Work from home flex Volunteer opportunities Happy hours Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. Jobspring Partners, part of the Motion Recruitment network, provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today's highest demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients. Salary Range: $100K - $130KMinimum Qualification5 - 7 years
Associated topics: data analyst, data integrity, data scientist, data warehouse, data warehousing, database administrator, erp, hbase, sybase, teradata * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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