Senior GCP Data Engineer | 7+ Years (Chennai)

Job Title: Senior GCP Data Engineer Location: Chennai Work Mode: Hybrid Experience: 7+ Years About the Role We are seeking a highly skilled and motivated Senior GCP Data Engineer to join our growing data engineering team. The ideal candidate will have strong hands-on experience in Google Cloud Platform (GCP), BigQuery, SQL, and Python, with a proven track record of building scalable data solutions and optimizing large-scale data processing systems. Key Responsibilities - Design, develop, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP). - Build and manage data warehousing solutions using BigQuery. - Develop and optimize complex SQL queries for large datasets. - Create and automate data workflows using Python. - Implement ETL/ELT processes for data integration and transformation. - Collaborate with business stakeholders, analysts, and development teams to deliver data-driven solutions. - Monitor, troubleshoot, and enhance data pipeline performance and reliability. - Ensure data quality, governance, and security best practices across platforms. - Participate in architecture discussions and contribute to data engineering best practices. Required Skills & Qualifications Mandatory Skills - Strong hands-on experience with Google Cloud Platform (GCP). - Expertise in BigQuery and data warehousing concepts. - Advanced knowledge of SQL and query optimization techniques. - Good programming experience in Python. - Experience in building and maintaining ETL/Data Engineering solutions. - Solid analytical and problem-solving skills. - Excellent communication and collaboration abilities. Preferred Qualifications - Experience with workflow orchestration tools. - Knowledge of cloud-based data architecture and best practices. - Exposure to data governance and data quality frameworks. - Experience working in Agile environments. Why Join Us - Opportunity to work on modern cloud-based data platforms. - Exposure to large-scale data engineering projects. - Collaborative and growth-oriented work environment. - Hybrid work flexibility. Interested candidates can share their updated resume/profile for further discussion. Job Title: Senior GCP Data Engineer Location: Chennai Work Mode: Hybrid Experience: 7+ Years About the Role We are seeking a highly skilled and motivated Senior GCP Data Engineer to join our growing data engineering team. The ideal candidate will have strong hands-on experience in Google Cloud Platform (GCP), BigQuery, SQL, and Python, with a proven track record of building scalable data solutions and optimizing large-scale data processing systems. Key Responsibilities - Design, develop, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP). - Build and manage data warehousing solutions using BigQuery. - Develop and optimize complex SQL queries for large datasets. - Create and automate data workflows using Python. - Implement ETL/ELT processes for data integration and transformation. - Collaborate with business stakeholders, analysts, and development teams to deliver data-driven solutions. - Monitor, troubleshoot, and enhance data pipeline performance and reliability. - Ensure data quality, governance, and security best practices across platforms. - Participate in architecture discussions and contribute to data engineering best practices. Required Skills & Qualifications Mandatory Skills - Strong hands-on experience with Google Cloud Platform (GCP). - Expertise in BigQuery and data warehousing concepts. - Advanced knowledge of SQL and query optimization techniques. - Good programming experience in Python. - Experience in building and maintaining ETL/Data Engineering solutions. - Solid analytical and problem-solving skills. - Excellent communication and collaboration abilities. Preferred Qualifications - Experience with workflow orchestration tools. - Knowledge of cloud-based data architecture and best practices. - Exposure to data governance and data quality frameworks. - Experience working in Agile environments. Why Join Us - Opportunity to work on modern cloud-based data platforms. - Exposure to large-scale data engineering projects. - Collaborative and growth-oriented work environment. - Hybrid work flexibility. Interested candidates can share their updated resume/profile for further discussion.