Data Engineer — Datastore Migration
Bounteous (company site, opens in a new tab)8–9 yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end datastore migration from an on-prem DataLake Hadoop ecosystem to an AWS-hosted LakeHouse.
- Manage migration tooling issues including investigation, root cause analysis, and coordination with tooling teams for resolution.
- Translate and optimize legacy SQL and Spark patterns for Snowflake and Iceberg compatibility ensuring functional data equivalence with reconciliation frameworks.
Minimum Requirements
- 6 to 9 years total experience with at least 8 years in Data Engineering.
- 3 to 5 years of professional hands-on coding experience in Python/Java and SQL in team environments.
- Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or related quantitative field.
- Proficiency in Kafka, Apache Spark, Snowflake, Hadoop ecosystem (HDFS/Hive), AWS S3, CI/CD pipelines, and experience with RESTful APIs.
Ideal Candidate Profile
- Experience migrating large-scale legacy Data Lakes to cloud LakeHouse architectures, specifically AWS-hosted systems.
- Strong expertise in temporal data modeling (e.g., unitemporal, bitemporal), data reconciliation, and schema evolution management strategies.
- Comfortable working in high-visibility projects requiring detailed technical root cause analysis and collaborative issue resolution across teams.