Create a data conversion pipeline in collaboration with the business teams for the clients who are switching to our system of record Lead the effort to transfer previous customer data from historic products to certain modern products in a smooth manner Design and develop data models and algorithms that support machine learning and other data-driven applications in collaboration with data scientists and business analysts Integrate data processing pipelines with current systems and applications by working with software engineers Job Requirements: Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience) At least 3+ years of relevant experience as a data engineer Demonstrable experience and knowledge of data engineering technologies In-depth knowledge of ETL pipelines and the ability to map different mortgage/loan data Some understanding of PySpark is nice to have Excellent spoken and written English communication skills Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate read more Key Skills Data conversionBusiness AnalystMortgageMachine learningData processing
Remote
Remote
Business Analyst
(Based On Interview)
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