GCP DATA ENGINEER

Job Description – Senior Data Engineer (GCP)

Location: Noida / New Delhi / Gurugram

We are looking for a highly skilled Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience with Python/Java, SQL, PySpark, Airflow, and ETL pipeline development , along with the ability to provide technical leadership and mentor team members.

Key Responsibilities

• Design, build, and optimize scalable data pipelines on GCP.
• Develop and maintain ETL/ELT workflows using Python, PySpark, and Airflow.
• Write efficient, optimized SQL queries and implement robust data models.
• Build and manage cloud-based data solutions using GCP services.
• Collaborate with engineering teams, product managers, and business stakeholders to deliver data-driven solutions.
• Ensure data quality, reliability, and performance across data platforms.
• Implement CI/CD pipelines and automated testing for data engineering workflows.
• Troubleshoot and resolve data pipeline and performance issues.
• Provide technical leadership, mentor team members, and promote best engineering practices.
• Contribute to knowledge sharing and continuous improvement initiatives.

Required Qualifications

• 5+ years of experience in Data Engineering and Software Development.
• 5+ years of hands-on experience with SQL and Python/Java.
• 3+ years of experience building and managing data pipelines on Google Cloud Platform (GCP).
• Strong expertise in Python or Java for data-intensive application development.
• Hands-on experience with PySpark, Airflow, and ETL pipeline development.
• Strong understanding of SQL, data modeling, and data warehousing concepts.
• Experience with CI/CD pipelines and automated testing frameworks.
• Excellent communication, analytical, and problem-solving skills.
• Experience leading or mentoring engineering teams.

Required Skills: Data Engineering, GCP, Python, SQL, PySpark, Apache Airflow, ETL Pipelines, Data Modeling, CI/CD, Cloud Data Engineering.