Job Summary
We are looking for skilled GCP Data Engineers with 6–9 years of hands-on experience in building scalable, high-performance data solutions. The ideal candidate will have strong expertise in Java-based big data processing frameworks and deep exposure to Google Cloud Platform (GCP) services for modern data engineering workloads.

Key Skills & Experience
- Strong programming expertise in Java, with experience in building distributed data processing applications
- Hands-on experience with Big Data technologies such as Apache Spark (Java/Scala APIs), Hadoop, and Hive
- Experience with Spark (DataFrame/Spark SQL) using Java or Scala (PySpark knowledge is a plus but not primary)
- Solid understanding of data structures, algorithms, and object-oriented programming in Java
- Strong knowledge of SQL, data modeling, and data warehousing concepts
- Experience working with Linux/Unix environments and scripting (Bash or similar)
- Proven analytical and problem-solving skills, especially in debugging and optimizing data pipelines
- Ability to design and build scalable,



fault-tolerant data processing systems

Important To Have
- Hands-on experience with GCP services such as BigQuery, Dataflow (Apache Beam with Java), Dataproc, Cloud Storage, Pub/Sub, and IAM
- Experience with workflow orchestration tools like Airflow or Cloud Composer
- Exposure to cloud migration projects, especially transitioning from on-premise Hadoop ecosystems to GCP
- Familiarity with streaming data pipelines using Pub/Sub and Dataflow
- Understanding of CI/CD pipelines and DevOps practices in a cloud setting

Roles & Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Java-based big data frameworks on GCP
- Build and optimize batch and streaming data processing solutions using Dataproc, Dataflow, and Spark
- Ensure high-quality, efficient, and maintainable code by following best practices and coding standards
- Perform unit testing, integration testing, and troubl

📌 Data Engineer – GCP Java (Bengaluru)
🏢 Impetus
📍 Bengaluru