Lead Data Engineer
Lead Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Lead Data Engineer NIKE USA Inc. Atlanta GA. Design and implement data products and features in collaboration with product owners data analysts and business partners using Agile / Scrum methodology; contribute to overall architecture frameworks and patterns for processing and storing large data volumes; evaluate and utilize new technologies/tools/frameworks centered around highvolume data processing; drive the implementation of new data projects and the optimization of existing solutions; translate product backlog items into engineering designs and logical units of work; profile and analyze data for the purpose of designing scalable solutions; define and apply appropriate data acquisition and consumption strategies for given technical scenarios; design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem; build utilities user defined functions libraries and frameworks to better enable data flow patterns; implement complex automated routines using workflow orchestration tools; drive collaborative reviews of designs code and test plans; work with architecture engineering leads and other teams to ensure quality solutions are implemented and engineering standard methodologies are defined and followed; anticipate identify and tackle issues concerning data management to improve data quality; build and incorporate automated unit tests and participate in integration testing efforts; utilize and advance continuous integration and deployment frameworks; solve complex data issues and perform root cause analysis; collaborate closely with Product team counterparts; work across teams to resolve operational & performance issues; provide work estimates and represent work progress and challenges; identify and remove technical bottlenecks for your engineering squad; and provide leadership guidance and mentorship to other data engineers. Telecommuting is available from anywhere in the U.S. except from SD VT and WV.
Must have a Bachelors degree in Computer Science Engineering Information Technology and five 5 years of progressive postbaccalaureate experience in the job offered or in a engineeringrelated occupation. Experience must include:
Big data system design;
SQL;
Spark;
Airflow
Python
Kafka
Change Data Capture implementation
Data Modeling
Data Architecture
Data Pipeline design
Spark Optimization
Data Security
Continuous Integration and Continuous Deployment
We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for inperson interviews closed captioning and other reasonable modifications as needed. If you discover as you navigate our application process that you need assistance or an accommodation due to a disability please complete the Candidate Accommodation Request Form.
Employment Type
Full Time
