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Tier-1 brand, mid-level generalist Data Engineer role with popular skills attracts high competition.
Core data engineering skills (ETL, SQL, Spark, cloud) are highly transferable across industries, so low sensitivity.
Explicit 5+ years plus many mandatory technologies (Databricks, Snowflake, AWS, Spark, Java/Python) implies high strictness.
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Lead and participate in building modular, configurable, API-first data tooling for Consumer Product & Innovation teams.
Collaborate extensively with engineers, product managers, and other Global Technology teams to meet business and technical objectives.
Provide guidance and coaching to junior engineers and coordinate across teams to deliver scalable software solutions.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or relevant professional experience in lieu of a degree.
5+ years of hands-on industry experience in data engineering.
Proficiency in SQL, Spark, Python; hands-on experience with Databricks, AWS (Lambda, Step Functions, DynamoDB, Elasticsearch, S3), and Snowflake.
Strong skills in data modeling, ETL development, data streaming, API development (REST/GraphQL), Java expertise, and familiarity with JavaScript/TypeScript and Node.js.
Experienced working in fast-paced, collaborative engineering environments within large global technology organizations.
Demonstrated ability to lead and mentor engineering teams focused on cloud-native, API-first data solutions.
Comfortable with full lifecycle software development including CI/CD, DevOps, microservices architecture, and integrating AI/ML data solutions.