Data Engineer — Datastore Migration
Lister Digital (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted on 21 Sept
Reach people at Lister Digital
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Lister Digital you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own the end-to-end migration of datastore from on-prem DataLake (Hadoop/HDFS) to AWS-hosted Lakehouse using tools and pipelines.
- Manage CI/CD pipelines related to data migration including investigation and root cause analysis of pipeline logs.
- Translate and optimize legacy SQL and Spark queries for compatibility with Snowflake and Apache Iceberg platforms.
Minimum Requirements
- 8+ years of experience in Data Engineering, with 3–5 years of hands-on coding experience in a team environment.
- Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or related quantitative field.
- Proficiency in Kafka, ANSI SQL, FTP, Apache Spark, Python/Java, RESTful APIs, and experience with CI/CD pipelines.
- Experience with on-prem Hadoop ecosystem (HDFS), AWS S3 data staging, Snowflake, Apache Iceberg, and handling schema evolution management.
Ideal Candidate Profile
- Experienced in executing complex legacy to cloud datastore migration projects involving data reconciliation and temporal data modeling (e.g., SCD Type 2).
- Skilled in troubleshooting and root cause analysis of data migration tools and pipelines with ability to coordinate with multiple teams.
- Comfortable working in high-visibility projects requiring deep expertise in both on-prem Hadoop and AWS cloud data platform ecosystems.