Job Summary :

We are looking for skilled Java GCP Data Engineers with 2 to 5 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 is a must)

- 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

Preferred / Good 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 environment