Lead Data Engineer, ITC

Kayavlon Impex Pvt. Ltd; India; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Nike Inc. in India is looking for a Lead Data Engineer to guide a team of engineers and collaborate with the Technical Product Manager and Principal Engineers to deliver API-first tooling that supports CP&I.

You will design scalable data models, ETL pipelines and dashboards using SQL, Spark, Python in AWS Databricks, Snowflake and modern front-end frameworks for data viz. Strong leadership and DevOps experience are essential to ship production systems.

Qualifications

• Bachelor's degree in CS/Engineering/IS or equivalent field.
• 8+ years of hands-on data engineering experience.
• Proficiency in SQL, Spark and Python.
• Hands-on with Databricks, AWS and Snowflake.
• Experience with data modeling, ETL and data streaming.
• Experience with AWS Lambda, Step Functions, DynamoDB, Elasticsearch and S3.
• Experience with React, Vue.js or Angular for data visualization dashboards.
• Experience with REST/GraphQL APIs for data services.
• Strong knowledge of microservices architecture and design patterns.
• Experience with CI/CD and DevOps for production deployments.
• Experience with AI/ML integration.

Responsibilities

• Lead a team of engineers building data tooling for CP&I.
• Architect modular, API-first data tooling.
• Coordinate with other teams and mentor junior engineers.
• Hands-on data engineering in AWS cloud stack.
• Develop data models, ETL processes and streaming pipelines.
• Build dashboards using modern SPA frameworks for data visualization.
• Practice CI/CD and DevOps for production deployments.
• Implement AI/ML data solutions.

Skills

Team leadership

Collaboration

Communication

Education

Bachelor’s degree in CS/Engineering/IS or equivalent

Tools

SQL

Spark

Python

Databricks

AWS

Snowflake

Lambda

Step Functions

DynamoDB

Elasticsearch

S3

React

Vue.js

Angular

REST APIs

GraphQL

CI/CD

DevOps

AI/ML

Job description

You will be a part of the larger Global Technology organization working on Nike’s internal product tools and report to the team’s Engineering Director. You will work day-to-day with a team of engineers, the team’s Technical Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals.

WHO WE ARE LOOKING FOR

We’re looking for a Lead Data Engineer to solve complex software engineering problems

supporting Nike’s pursuit of delivering state of the art tools to our Consumer Product and Innovation (CP&I) community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience.

WHAT YOU’LL WORK ON

You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members.

Experience leading teams in a highly collaborative environment

Bachelor’s degree in computer science, Engineering, Information Systems, or similar field, or relevant professional experience in lieu of a degree

8+ years of hands-on industry data engineering experience

Proficiency in SQL, Spark, Python

Hands-on experience with Databricks, AWS, Snowflake

Demonstrated strength in data modeling, ETL development, and data streaming.

Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, S3

Experience with React, Vue.js, or Angular for data visualization dashboards

Demonstrated expertise in API development using REST/GraphQL APIs for data services

Strong understanding of microservices architecture and architectural design patterns

Experience with CI/CD and leading teams with DevOps responsibilities for deploying and supporting software in production

Experience with implementing and integrating AI, Machine Learning and related data solutions

Want to know more about working at Nike Inc.?