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Mid-level data-engineer role with broad Databricks/AWS skills at a well-known services firm increases applicant competition.
Core data-engineering and cloud skills are highly transferable across industries.
Explicit 2–4 years requirement plus mandatory Databricks/Snowflake, AWS, Terraform, Python skills enforce strict filtering.
Lead hands-on migration of data assets, schemas, tables, and notebooks between cloud environments.
Set up unified Databricks workspaces, clusters, and warehouses using Terraform and platform APIs.
Manage permissions mapping and perform data validation to ensure migration integrity with zero data loss or downtime.
2-4 years of experience in Data Engineering, Platform Operations, or Cloud Operations.
Proficient in AWS cloud services (S3, IAM, EC2, Lambda) in a multi-account environment.
Experience administering Databricks or Snowflake platforms (clusters, notebooks, jobs, warehouses, roles).
Skilled in Terraform, Python, SQL, and CI/CD pipelines for automation and deployment.
Experienced in managing end-to-end data platform migrations and infrastructure provisioning in cloud environments.
Strong troubleshooting ability to resolve migration issues collaboratively and maintain platform stability.
Comfortable operating with automation tools and infrastructure-as-code practices at scale.