We are looking for energetic, high-performing, and highly skilled Big Data + GCP professionals to design, develop, and deploy scalable applications on the Google Cloud Platform using Java 8 and above and Big Data technologies, with an in-depth understanding of Google Cloud Platform services and architecture.

Requirements:

- Strong programming knowledge in Pyspark and Data processing.

- Hands-on experience in Big Data technologies (Spark, Hive, MapReduce, and Hbase).

- Understanding and experience with UNIX / Shell / Perl / Python scripting.

- Proficiency in developing and deploying applications on GCP using services such as Compute Engine, App Engine, Cloud Functions, BigQuery, Cloud SQL, DataProc, DataFlow etc.

- Database query optimization and indexing, relational databases (PostgreSQL / MySQL / DB2 etc), GKE (Google Kubernetes Engine), and experience in FastAPI.

Key Responsibilities :

- Design and implement end-to-end data pipelines on GCP to streamline data ingestion, transformation, and storage for diverse business units.

- Optimize Big Data processing frameworks to improve query performance and reduce operational costs for internal and external stakeholders.

- Collaborate with infrastructure teams to maintain secure, scalable, and highly available data environments that meet rigorous enterprise standards.

- Troubleshoot complex data integration issues to ensure data integrity and reliability across all reporting platforms.

- Mentor junior team members and contribute to technical documentation to foster a culture of continuous improvement and knowledge sharing within the engineering group.