GCP Data Engineer - SS Req

Onix; Pune City; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

A leading IT service company in Pune is seeking a GCP Data Engineer with 4 to 7 years of experience. The ideal candidate should have extensive knowledge of Google Cloud Platform, including Dataproc, Cloud Composer, and proficiency in Python and SQL. You will design and optimize data pipelines that support enterprise-grade analytics and collaborate with diverse teams to deliver data solutions.

Qualifications

• 4 to 7 years of experience as a GCP Data Engineer.
• Strong hands-on experience with GCP services.
• Proficient in Python/Shell Scripting and SQL.

Responsibilities

• Design and implement scalable data pipelines on GCP.
• Develop ETL/ELT workflows using Apache Spark.
• Automate data workflows using Cloud Composer.

Skills

Experience with Google Cloud Platform (GCP)

Proficiency with Dataproc for big data processing

Expertise in Python and SQL

Experience with Cloud Composer / Apache Airflow

Knowledge of data modeling and warehousing

Strong troubleshooting and problem-solving skills

Job description

Overview

Job Title: GCP Data Engineer

Location: Pune, India

Experience: 4 to 7 Years

Job Type: Full-Time

We are looking for a highly skilled GCP Data Engineer with 4 to 7 years of experience to join our data engineering team in Pune. The ideal candidate should have strong experience working with Google Cloud Platform (GCP), including Dataproc, Cloud Composer (Apache Airflow), and must be proficient in Python/Shell Scripting, SQL, and Apache Spark. The role involves designing, building, and optimizing data pipelines and workflows to support enterprise-grade analytics and data science initiatives.

Responsibilities

• Design and implement scalable and efficient data pipelines on GCP, leveraging Dataproc, BigQuery, Cloud Storage.
• Develop and manage ETL/ELT workflows using Apache Spark, SQL, and Python.
• Orchestrate and automate data workflows using Cloud Composer (Apache Airflow).
• Build batch and streaming data processing jobs that integrate data from various structured and unstructured sources.
• Optimize pipeline performance and ensure cost-effective data processing.
• Collaborate with data analysts, scientists, and business teams to understand data requirements and deliver high-quality solutions.
• Implement and monitor data quality checks, validation, and transformation logic.

Required Skills

• Strong hands-on experience with Google Cloud Platform (GCP)
• Proficiency with Dataproc for big data processing and Apache Spark
• Expertise in Python and SQL for data manipulation and scripting
• Experience with Cloud Composer / Apache Airflow for workflow orchestration
• Knowledge of data modeling, warehousing, and pipeline best practices
• Solid understanding of ETL/ELT architecture and implementation
• Strong troubleshooting and problem-solving skills

Preferred Qualifications

• GCP Data Engineer or Cloud Architect Certification
• Familiarity with BigQuery, Dataflow. Exposure to Agile methodologies and team collaboration tools

Seniority level

• Executive

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting and Information Technology & Services