Big Data EngineerCompensation:
$120000.00 to $145000.00 yearly
As a Data Engineer you will develop and maintain scalable data pipelines while collaborating with analytical and business teams to improve data models. Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Writes unit/integration tests, contributes to engineering wiki, and documents work. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Defines company data assets (data models), and other jobs to populate data models and designs data integrations and data quality framework. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
•Preferable to have a Degree in an analytical field (e.g. Computer Science, Mathematics, Statistics, Engineering, Operations Research, Management Science) and 4+ years of professional experience.
•At least 4 years of data analytics experience in a distributed computing environment
•Strong experience with products or similar products like Apache Spark, Big Data
•Building and analyzing dashboards and reports
•Empower and assist operation and product teams through building key data sets and data-based recommendations
•Automating analyses and authoring pipelines via SQL/python based ETL framework
•Superb SQL programming skill with understanding of ETL tools and database architecture.
•Demonstrable familiarity with code and programming concepts. Experience with Python is highly preferred but not required.
***For confidential searches, please send resume directly to ***Job Requirements:
Scala, Python, Apache Spark
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