Position Details
About this role
Build and maintain large-scale data pipelines and data warehouses supporting analytics and product features at scale.
Key Responsibilities
- Build and expand data pipelines
- Collaborate on data product development
- Monitor and optimize database performance
- Write unit and integration tests
- Participate in code reviews
Technical Overview
Environment includes AWS ecosystem with Kinesis, Airflow, Spark, Lambda, Flink, Athena, and databases like Clickhouse, Postgres, Snowflake, ElasticSearch, Timestream.
Ideal Candidate
The ideal candidate is a senior data platform engineer with 5+ years of experience in building large-scale data pipelines and data warehouses. They are proficient with AWS ecosystem tools, distributed systems, and have a strong focus on maintainability and automation.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience in backend data engineering, Lack of experience with AWS data tools, No experience with data pipelines or data warehouses
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