Walk-in || Gcp Data Engineer

Role & responsibilities

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with ETL/ELT processes.
• Strong SQL skills, including query optimization.
• Good hands-on experience with Python for data engineering.
• Strong experience with GCP, AWS or Azure.
• Understanding of Data Warehousing and Data Modeling concepts.
• Experience working with large-scale data and production data pipelines.

Preferred candidate profile

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Develop data integration solutions using AWS or Azure cloud services.
• Write complex and optimized SQL queries for data extraction, transformation, and analysis.
• Develop and maintain data processing solutions using Python.
• Work with structured and semi-structured data from multiple sources.
• Perform data transformation, cleansing, validation, and quality checks.
• Monitor and troubleshoot data pipelines and resolve production issues.
• Collaborate with Data Architects, Developers, Analysts, and other stakeholders.
• Ensure data pipelines are scalable, reliable, secure, and optimized for performance.

Support cloud-based data platform development and migration initiatives.