Position Details
About this role
Build and maintain large-scale data pipelines and data products supporting analytics and feature flagging at high volume, leveraging AWS and modern data processing tools.
Key Responsibilities
- Build and expand data pipelines
- Collaborate on technical proposals
- Monitor and improve database performance
- Support production pipelines
- Participate in code reviews
Technical Overview
Environment includes AWS ecosystem with Kinesis, Airflow, Spark, Lambda, Flink, Athena, and databases like Clickhouse, Postgres, ElasticSearch, Timestream, Snowflake. Focus on scalable, reliable data infrastructure.
Ideal Candidate
The ideal candidate is a mid-level data platform engineer with 5+ years of experience in building large-scale data pipelines and data warehouses within the AWS ecosystem. They possess strong knowledge of distributed systems, data processing frameworks, and infrastructure-as-code tools, with a collaborative approach to engineering.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AWS ecosystem, Less than 5 years of backend engineering experience, No experience with data pipelines or data warehouses, Unfamiliarity with infrastructure-as-code tools, Inability to support production systems
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