
Nike
Lead Software Engineer
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Job Description
Manage the coordination and overall integration of technical activities in engineering projects; direct, review or approve project design changes; assess project feasibility by analyzing technology, resource needs or market demand; develop or implement policies, standards, or procedures for engineering and technical work; establish technical goals within broad outlines provided by top management; direct recruitment, placement and evaluation of engineering project staff; extract meaning from data using specialized computer systems to transform, organize, and model the data to draw conclusions and identify patterns; use practical application of data collection and analysis to design, manage and optimize the flow of data throughout the organization; implement and execute strategies for a larger team (or multiple smaller teams) to deliver business results; solve complex problems using limited information; implements solutions taking into consideration future implications; work with non-routine information and develops recommendations to gain approval of ideas or services; accountable for meeting short-term to medium-term targets that impact the department or team; responsible for performance management, pay and resourcing decisions for direct reports; responsible for the team's delivery of scalable data solutions to solve a customer need; identify and solve enterprise issues concerning data management to improve data quality, and ensure the implementation of automated workflows, continuous integration, test-driven development and production deployment frameworks; guide the team in identifying and solving data issues and performing root-cause analysis to actively resolve product issues; and collaborate with other data engineers in the review of design, code and test plans in support of maintaining data engineering standards.
Qualifications
Required Qualifications
- Spark for Data Engineering including batch and streaming pipelines
- Advance SQL including complex queries, performance optimization and Big Data management
- Python for data processing and workflow orchestration
- Informatica for building complex ETL pipelines
- AWS services including S3, EMR, Aurora DB, EC2
- Airflow for ETL pipeline orchestration
- Snowflake for datawarehousing and Petabyte scale Data Lakes
- Hive on Hadoop ecosystems
- Unix programming
- Data Architecture to support petabyte scale LakeHouse implementations
- Data Modeling to support complex LakeHouse implementations and reporting solutions
Skills & Technologies
About the Company
Nike
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Sign in to applyJob Details
Employment Type
Full Time
Experience Level
Senior
Location
Beaverton, OR
Work Mode
Remote
Posted
5 days ago
Country
US