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Remote role and senior level balanced by specialized data-platform skills yield moderate competition.
Strong data platform emphasis but core skills (Python, SQL, cloud) are transferable across industries.
Explicit 9+ years requirement plus deep AWS, Kubernetes, Terraform, and data-platform skills.
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Implement and operate core data platform infrastructure using Kubernetes, AWS, and Terraform with focus on reliability and scalability.
Collaborate with Data Engineers, BI Analysts, and Data Scientists to design solutions for analytics, dashboarding, and ML use cases.
Contribute to data platform vision and roadmap, setting technical direction and engineering standards.
9+ years experience as a Data Engineer at senior or staff level.
Bachelor's or Master's degree in Computer Science or related discipline (B.Tech, B.E., or Master's).
Hands-on experience with Kubernetes, AWS services, and Terraform module development.
Expertise in Python and advanced SQL.
Experienced in hybrid Data Lake and Data Warehouse architectures with ELT automation and cloud data warehouses like Redshift or Snowflake.
Proficient with agile practices, CI/CD, testing, and distributed systems principles.
Knowledgeable in AI integration including LLMs and RAG systems for workflow automation.