Data Engineering Manager Data Warehouse And Big Data Ecosystems Nike 10 15 Years
Candidate should have:
Strong sense of OWNERSHIP,
Bias for ACTION
Hire and Develop BEST PEOPLE
What you will work on
Leading the delivery of scalable data and analytics solutions.
Implementing new and open source technologies.
Design and build reusable components, frameworks and libraries at scale to support analytics data products.
Leading and evolving data and analytics products.
Lead, Inspire, Coach and Grow team of engineers.
Partner with product managers and analytics leaders to help prioritize work.
Guide technology decisions that drive the company\’s standard methodologies.
Partner with other engineering teams across the company, to collaborate on specific technologies and build out various data sets together.
Leading discussions to scale out data architecture to process large data sets, and solve various data challenges.
Partner with enterprise platform and architecture, strategizing together to drive roadmaps and use standards and platforms at the company.
Who you will work with
You will be working with diverse team of smart, intelligent and creative people. We embrace and celebrate unique talent and experience of our teammates.
In this role you’ll be working closely with passionate and drive Product Management team, Architects, Engineers, Data Analysts, Internal partners and other departments. They will span across various groups including Demand and Supply Management, Supply Chain, Commercial Analytics, and Consumer Insights. You will be in contact with a wide range of great people. One of our maxims is “Win as a Team”. In all interactions, you will find success in teamwork, a positive attitude, and hard work.
What you bring
10 + Years solution development and technology experience.
5 Years in a management or leadership role.
Strong skills in team leadership and building positive relationships across Product and Engineering.
experience working in Agile and Scrum development process.
experience working in a fast-paced, results-oriented environment.
Practical approach to solving complex problems with ambiguous requirements.
experience in Amazon Web Services (AWS) or other cloud platform tools.
experience working with Data warehousing tools, including Dynamo DB, SQL, Amazon Redshift, and Snowflake.
experience architecting data product in Streaming, Serverless and Micro-Services based Architecture and platform.
experience working with Data platforms, including EMR, Data Bricks etc.
experience working with distributed technology tools, including Spark, Presto, Scala, Python, Databricks, Airflow.
Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture.
Working knowledge of Reporting and Analytical tools such as Tableau, Quicksite etc.
Demonstrated experience in learning new technologies and skills.
Bachelor\’s degree in Computer Science, Information Systems, Business, or other relevant subject area.
Interested candidates should send their CVs