Position Details
About this role
This role involves designing and implementing scalable data infrastructure and pipelines using modern data lakehouse architecture on AWS, supporting data-driven decision making.
Key Responsibilities
- Design data pipelines
- Build and maintain data lakehouse
- Implement data governance
- Ensure data security and compliance
- Collaborate with stakeholders
Technical Overview
The environment includes SQL, Python, AWS services like Glue, Lambda, Athena, Redshift, Kinesis, EKS, and frameworks like Spark, Kafka Streams, and Flink, focusing on scalable, secure, and reliable data solutions.
Ideal Candidate
The ideal candidate is a data platform engineer with at least 2 years of experience in SQL, Python, and AWS, capable of designing scalable data infrastructure and pipelines in a remote environment.
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 SQL, Python, or AWS, No experience with data pipelines or lakehouse architecture
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