Lead I - Software Engineering_Java spark
UST (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 16–28 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Ingest and transform data from multiple sources into a Data Lake using Java-based tools like Apache Spark and Spring Batch.
- Develop and modernize ETL pipelines, including writing Spark (Java API) transformation logic and stored procedures for relational databases.
- Handle both batch and real-time data processing, storing output in HDFS or cloud storage (AWS S3, GCP Storage, or on-prem).
Minimum Requirements
- 5+ years of relevant software engineering experience.
- Proficient in Java programming, including Spark code development and SQL query writing.
- Experience with Java frameworks for data processing and integration such as Spring, Apache Spark, JDBC.
- BE/BTech degree required.
Ideal Candidate Profile
- Experienced in data warehousing concepts and data modeling techniques like star schema.
- Familiar with ETL workflows, including batch and real-time processing and transformation.
- Understands advanced data management like Delta Lake transactional storage and Slowly Changing Dimensions (SCD).