Data Engineer – GCP Java & Big Data
Impetus Technologies (company site, opens in a new tab)6–9 yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines using Java-based big data frameworks on GCP.
- Build and optimize batch and streaming data processing solutions leveraging Dataproc, Dataflow, and Apache Spark.
- Collaborate with cross-functional teams to deliver robust data solutions while participating in code reviews, mentoring, and sprint planning.
Minimum Requirements
- 6 to 9 years of hands-on experience in data engineering with strong Java programming skills.
- Proficiency in Big Data technologies including Apache Spark (Java/Scala), Hadoop, Hive, and data warehousing concepts.
- Hands-on experience with GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.
- Strong SQL skills, experience with Linux/Unix environments and scripting (Bash or similar).
Ideal Candidate Profile
- Experienced in designing and optimizing scalable, fault-tolerant data processing architectures on GCP.
- Demonstrated ability to build distributed Java data processing applications and work with batch and streaming data pipelines.
- Familiarity with workflow orchestration (Airflow/Cloud Composer), cloud migration projects, and DevOps practices in cloud environments.