Overview

United States
icrunchdata Network
No Third Parties Please We sponsor and offer benefits Remote for some time. Down the road the position would be located in Michigan. Title Data Engineer Duration Ongoing W2 Contract with health insurance, visa sponsorship, vacation, relocation assistance, etc. Data Engineers are required to design and build data products and data pipelines. They will ensure the robust flow of data from acquisition through curation, and governance. Data Engineers will enable data as a service and drive all critical data driven initiatives. Experts of the data and its application by users Understands data landscape and environments sources, elements, update freq, completeness, stewardscontacts, platforms Manages ETL use programming and tools for data ingestion, configure pipelines, apply transformations and decoding, integrate and fuse data, move and securely deliver Translates business requirements to build repeatable, sustainable, efficient, coded processes that can be productionized by Software Engineers and readily modified by other Data Engineers Creates POC processes in DevQA and works with Software Engineers to productionize and align best coding and process practices that maximize efficiency, speed, stability, system resources and capabilities Leverages frameworks in place with big data tools Hadoop, Spark, Python, Kafka, etc. Experience with relational SQL and NoSQL databases Awareness of and compliance with data privacy, security, legal and contractual guidelines Incorporates data quality and privacy checksalerts to minimize bad data being consumed by end users, models and dashboards, and to protect customer data revises checks for new data issues Maintains feedback loop with Data Stewards on data issues, standards, fit for use (Data Stewardship is a subset of data engineering which would include responsibilities like data curation) Validates data products and pipelines are functioning as expected following system or application upgrades, source changes, etc. Responsible for data architecture including sources, table structures, physical models Works closely with Architects to align systems, tools and applications being utilized with business use case and performance requirements Communicates with end users to set expectations and ensure alignment around data accuracy, completeness, timeliness and consistency Provides data product support and maintenance Establishes, tracks and monitors KPIs related to specific data products and deliverables

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