Sr. Data Engineer- AWS
Simform (company site, opens in a new tab)5+ yrsAhmedabadOn-siteDirect career pageEst. 12–20 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data pipelines and data models across multiple medallion layers in a multi-tenant SaaS data platform, ensuring data quality and correctness.
- Manage engineering workflows including CI/CD pipelines, version control, and change management to ensure safe and test-backed deployments.
- Optimize platform performance and cost, implement data governance, reliability, observability, and continuously improve platform capabilities such as identity resolution and third-party data enrichment.
Minimum Requirements
- 5+ years of professional experience in data engineering or related roles.
- Strong hands-on experience with Spark, Databricks (or Snowflake/BigQuery), advanced SQL, and Python.
- Experience with multi-tenant SaaS platforms, tenant isolation, and handling large-scale data processing involving hundreds of millions to billions of rows.
- Proven skills in ELT tools such as Fivetran or Airbyte, REST API and file-based ingestion, plus strong CI/CD practices, Git/version control, and working knowledge of AWS.
Ideal Candidate Profile
- Demonstrates deep expertise in building and maintaining production-grade data pipelines with emphasis on data correctness, reconciliation, and test-driven development.
- Experienced in designing scalable data models involving grains, slowly changing dimensions, and semantic/metric layers in complex, multi-client environments.
- Familiar with platform cost optimization, data governance (e.g., Unity Catalog), and leveraging AI coding agents for productivity with strong documentation and communication skills.