The Data Lake team develops state-of-the-art data engineering pipelines that support data ingestion, curation, and advanced analytics
Job Summary
The Data Lake team develops state-of-the-art data engineering pipelines that support data ingestion, curation, and advanced analytics.
You will play a key role in shaping and advancing the next-generation data and analytics platform, contributing to the design and evolution of a modern, scalable, and business-critical data ecosystem.
Our benefits include health care coverage, generous time off, continuous learning resources, competitive pay, retirement planning, and family-friendly perks.
Matching Summary
The Data Lake team develops state-of-the-art data engineering pipelines that support data ingestion, curation, and advanced analytics.
Skills & Requirements
Must-have
design and build data pipelines
AWS data lake/lakehouse
Spark or Flink
Python, Java, or Scala
Kafka and CDC
Airflow or Step Functions
data modeling and warehousing
Nice-to-have
lake house technologies
streaming frameworks
data observability tools
Infrastructure as Code
ML/AI data pipelines
Key Requirements
10–14 years of experience in software engineering
8+ years of hands-on data engineering experience
4+ years designing modern data lake/lakehouse architectures
Bachelor’s or master’s degree in computer science or related field
Experience managing AWS infrastructure in production
Experience with real-time and batch data integration