Lead Data Engineer - ITC
Nike, Inc.
Karnataka, Karnataka, India, VT, 05401
Closed - No longer accepting applications
Premium
See who posted the job
Premium
Competitive Insights
Premium
Check your commute time
ENTERPRISE DATA & ARTIFICIAL INTELLIGENCE (ED&AI) is a capability driven organization, unblocking better decisions, more responsive operations and strengthening unbreakable relation with Consumers. ED&AI team ensures trusted data is available and consistent, capture high quality consumer data, builds analytical products and capabilities, and enables fast and seamless integration across Nikes technology solution. Our team purposefully innovate solutions needed to help navigate Nikes leading position in the constantly evolving marketplace.
WHO ARE WE LOOKING FOR
Nike has embraced big data technologies to enable data-driven decisions. We are looking a Lead Data Engineer to keep pace. As Lead Data Engineer, you will work with a variety of talented Nike teammates and be a driving force for building first-class solutions for Enterprise Data and Artificial Intelligence. The ideal candidate will have programming experience, big data skills, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.
WHAT WILL YOU WORK ON
Design and build reusable components, frameworks, and libraries at scale to support analytics data products.
Design and implement product features in collaboration with business and Technology stakeholders.
Anticipate, identify and solve issues concerning data management to improve data quality.
Clean, prepare and optimize data at scale for ingestion and consumption.
Drive the implementation of new data management projects and re-structure of the current data architecture.
Implement complex automated workflows and routines using workflow scheduling tools.
Build continuous integration, test-driven development and production deployment frameworks.
Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
Analyze and profile data for the purpose of designing scalable solutions.
Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues.
Mentor and develop other data engineers in adopting best practices.
WHO WILL YOU WORK WITH
Work with product management to understand business requirements.
Work with Engineering leadership and architecture teams to align on design, architecture and enterprise strategy.
WHAT YOU BRING
8+ Years experience of building big data solutions.
Advanced experience building cloud scalable, real time and high-performance data lake solutions leveraging AWS, EMR, S3, Hive & Spark.
Experience working in an agile and iterative landscape.
Experience with relational SQL.
Experience with scripting languages such as Shell, Python.
Experience with source control tools such as GitHub and related dev process.
Experience with workflow scheduling tools like Airflow.
In-depth understanding of micro service architecture.
Strong understanding of developing complex data solutions.
Experience working on end-to-end solution design.
Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions.
Willing to learn new skills and technologies.
Have a passion for data solutions.
Strong understanding of data structures and algorithms.
Strong understanding of solution and technical design.
Has a strong problem solving and analytical mindset.
Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders.
Able to quickly pick up new programming languages, technologies, and frameworks.
WHO ARE WE LOOKING FOR
Nike has embraced big data technologies to enable data-driven decisions. We are looking a Lead Data Engineer to keep pace. As Lead Data Engineer, you will work with a variety of talented Nike teammates and be a driving force for building first-class solutions for Enterprise Data and Artificial Intelligence. The ideal candidate will have programming experience, big data skills, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.
WHAT WILL YOU WORK ON
Design and build reusable components, frameworks, and libraries at scale to support analytics data products.
Design and implement product features in collaboration with business and Technology stakeholders.
Anticipate, identify and solve issues concerning data management to improve data quality.
Clean, prepare and optimize data at scale for ingestion and consumption.
Drive the implementation of new data management projects and re-structure of the current data architecture.
Implement complex automated workflows and routines using workflow scheduling tools.
Build continuous integration, test-driven development and production deployment frameworks.
Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
Analyze and profile data for the purpose of designing scalable solutions.
Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues.
Mentor and develop other data engineers in adopting best practices.
WHO WILL YOU WORK WITH
Work with product management to understand business requirements.
Work with Engineering leadership and architecture teams to align on design, architecture and enterprise strategy.
WHAT YOU BRING
8+ Years experience of building big data solutions.
Advanced experience building cloud scalable, real time and high-performance data lake solutions leveraging AWS, EMR, S3, Hive & Spark.
Experience working in an agile and iterative landscape.
Experience with relational SQL.
Experience with scripting languages such as Shell, Python.
Experience with source control tools such as GitHub and related dev process.
Experience with workflow scheduling tools like Airflow.
In-depth understanding of micro service architecture.
Strong understanding of developing complex data solutions.
Experience working on end-to-end solution design.
Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions.
Willing to learn new skills and technologies.
Have a passion for data solutions.
Strong understanding of data structures and algorithms.
Strong understanding of solution and technical design.
Has a strong problem solving and analytical mindset.
Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders.
Able to quickly pick up new programming languages, technologies, and frameworks.