GCP Data engineer

Job description
Role: GCP Data Engineer
Experience: 6-10 Years
Locations: Chennai, Bengaluru, Hyderabad, Pune, Kochi, Kolkata, NCR/Delhi
Interview Mode: Virtual Interview on 24th October (Saturday)
Job Summary
We are looking for an experienced GCP Data Engineer with strong expertise in designing, developing, and maintaining scalable data platforms on Google Cloud Platform (GCP). The ideal candidate should have hands-on experience in data ingestion, transformation, ETL development, cloud-native data services, and large-scale data processing.
Key Responsibilities
Design and develop scalable ETL/ELT data pipelines on GCP.
Build and maintain data processing solutions using BigQuery, Dataflow, Dataproc, and Cloud Storage.
Develop and optimize data ingestion and transformation frameworks.
Work with structured and unstructured data from multiple sources.
Collaborate with Data Scientists, Analysts, and Business teams to support data requirements.
Implement data quality, governance, security, and monitoring processes.
Troubleshoot performance issues and optimize data workflows.
Follow CI/CD and DevOps best practices for deployment and maintenance.
Required Skills
6-10 years of overall IT experience.
Strong experience with Google Cloud Platform (GCP).
Hands-on experience with:
BigQuery
Dataflow
Dataproc
Cloud Storage
Pub/Sub
Cloud Composer/Airflow
Strong SQL skills.
Experience in building ETL/ELT pipelines.
Knowledge of Python or Java for data engineering.
Understanding of data warehousing and data lake concepts.
Experience with Git and CI/CD processes.
Preferred Skills
Experience with Apache Spark/PySpark.
GCP Certifications.
Exposure to Kafka and real-time data processing.
Experience with Docker and Kubernetes.
Note: Looking for candidates with a 90-day notice period. Please apply if you meet this requirement.
Important: We are specifically considering candidates with an official 90-day notice period

Work arrangement
No