GCP Data Engineer- 13+ Years Needed-Local Chennai candidates only

Mastek; Chennai District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Mastek is looking for a GCP Data Engineer in Chennai to design and optimize data pipelines using BigQuery and related GCP services. The role emphasizes data warehousing, performance tuning, and cost optimization within a cloud-native environment.

The candidate will develop ETL/ELT processes, implement Airflow-based scheduling, and integrate Cloud Functions with other GCP components, ensuring scalable, reliable data workflows for large datasets and REST API consumptions.

Qualifications

• Strong expertise in Google BigQuery for data warehousing, performance tuning, partitioning, clustering, query optimization, and cost optimization.
• Hands-on experience with Cloud Composer (Apache Airflow) for designing, scheduling, and monitoring complex data pipelines.
• Strong programming skills in Python, including writing production-grade code, reusable modules, and automated data processing frameworks.
• Experience developing and deploying Google Cloud Functions and integrating them with GCP services.
• Good knowledge of Cloud Storage (GCS), Pub/Sub, Cloud Scheduler, Secret Manager, IAM, Cloud Logging, and Cloud Monitoring.
• Experience building scalable ETL/ELT pipelines using GCP-native services.
• Strong SQL skills with experience handling large-scale datasets in BigQuery.
• Experience working with REST APIs, JSON, CSV, Parquet, and Avro data formats.
• Familiarity with Git, CI/CD pipelines, and DevOps best practices.

Skills

BigQuery

Data warehousing

Python programming

REST APIs

SQL

ETL/ELT

CI/CD

DevOps

Performance tuning

Tools

Google Cloud Functions

Cloud Composer / Apache Airflow

GCS

Pub/Sub

Cloud Scheduler

Secret Manager

IAM

Cloud Logging

Cloud Monitoring

Job description

GCP Data Engineer - Chennai

Required Technical Skills Strong expertise in Google BigQuery for data warehousing, performance tuning, partitioning, clustering, query optimization, and cost optimization. Hands-on experience with Cloud Composer (Apache Airflow) for designing, scheduling, and monitoring complex data pipelines. Strong programming skills in Python, including writing production-grade code, reusable modules, and automated data processing frameworks. Experience developing and deploying Google Cloud Functions and integrating them with GCP services. Good knowledge of Cloud Storage (GCS), Pub/Sub, Cloud Scheduler, Secret Manager, IAM, Cloud Logging, and Cloud Monitoring. Experience building scalable ETL/ELT pipelines using GCP-native services. Strong SQL skills with experience handling large-scale datasets in BigQuery. Experience working with REST APIs, JSON, CSV, Parquet, and Avro data formats. Familiarity with Git, CI/​CD pipelines, and DevOps best practices.