GCP Hadoop Developer

Experience : 5 - 13 Years

Location : Bengaluru / Hyderabad / Pune

Work Mode : Hybrid

Employment Type : Full-time

Role Overview :

We are looking for an experienced GCP Hadoop Developer with strong expertise in Big Data technologies and Google Cloud Platform. The candidate will be responsible for developing, optimizing, and maintaining scalable data pipelines and distributed data processing solutions.

Key Responsibilities :

- Design, develop, and maintain scalable Big Data pipelines on GCP.

- Work with Hadoop ecosystem technologies for large-scale data processing.

- Develop data processing solutions using Spark, Hive, HDFS, and HBase.

- Build and manage pipelines using GCP services such as BigQuery, Cloud Storage, Dataproc, Dataflow, and Pub/Sub.

- Perform data ingestion, transformation, processing, and optimization.

- Develop and optimize Spark/PySpark and SQL queries.

- Troubleshoot performance, data quality, and production issues.

- Collaborate with data engineers, architects, and business teams.

- Follow best practices for data security, scalability, reliability, and performance.

Mandatory Skills :

- GCP

- Hadoop

- Spark

- PySpark

- Hive

- HDFS

- BigQuery

- Dataproc

- Cloud Storage

- SQL

- Python/Java/Scala

- ETL, Data Engineering

Good to Have :

- Dataflow, Pub/Sub, Cloud Composer

- Kafka

- Cloud migration/modernization experience

- CI/CD and DevOps exposure

- Data security and governance knowledge

Candidate Profile :

- 5 - 13 years of experience in Big Data/Data Engineering.

- Strong hands-on experience with Hadoop and GCP.

- Good understanding of distributed data processing and cloud data platforms.

- Strong analytical and problem-solving skills.

- Candidates should be comfortable working in a hybrid model from Bengaluru, Hyderabad, or Pune.