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.