Data Engineer-II

Coforge; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Coforge is seeking a GCP Data Engineer to design and manage scalable data pipelines on Google Cloud. The role requires hands-on experience with GCP services, ETL/ELT development, and data warehousing concepts.

You will work with BigQuery, Dataflow, Pub/Sub, and Airflow to build robust data solutions and collaborate with analysts, architects, and data scientists in a hybrid Pune setting.

Qualifications

• Hands-on experience in building data pipelines on GCP.
• Expertise with BigQuery, Dataflow, Pub/Sub, and Airflow-based workflows.
• Strong Python and SQL skills for data processing and analytics.
• Solid understanding of ETL/ELT and data warehousing concepts.

Responsibilities

• Design, develop, and maintain scalable data pipelines on GCP.
• Build ETL/ELT solutions using cloud-native services.
• Develop and optimize data models for analytics and reporting.
• Integrate data from multiple sources into cloud data warehouses.
• Monitor data quality, performance, and reliability.
• Collaborate with Business Analysts, Data Architects, and Data Scientists.

Skills

Python

SQL

ETL/ELT

Data warehousing concepts

GCP

Tools

BigQuery

Dataflow

Pub/Sub

Cloud Composer (Airflow)

Apache Beam

Spark

Git

CI/CD

Job description

Role & responsibilities

GCP Data Engineer

Experience

3 to 5 Years

Location

Pune (Hybrid Mode)

Job Description

Coforge is looking for a skilled GCP Data Engineer with hands-on experience in building and managing data pipelines on Google Cloud Platform. The candidate should have strong expertise in cloud-based data engineering, ETL development, and big data technologies.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on GCP.
• Build ETL/ELT solutions using cloud-native services.
• Develop and optimize data models for analytics and reporting.
• Integrate data from multiple sources into cloud data warehouses.
• Monitor data quality, performance, and reliability.
• Work closely with Business Analysts, Data Architects, and Data Scientists.

Required Skills

• Strong experience with Google Cloud Platform (GCP).
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Composer (Airflow).
• Experience in Python and SQL.
• Knowledge of ETL/ELT development and data warehousing concepts.
• Experience with Apache Beam, Spark, or similar big data technologies.
• Understanding of data modeling and database design.
• Experience with Git and CI/CD practices.