Data Engineer

Key Skills: Data Engineer, AI (Artificial intelligence), SQL, Python, Java. Roles and Responsibilities: Architect and implement modern, scalable data solutions on cloud platforms, specifically Google Cloud Platform (GCP). Collaborate with cross-functional teams to assess, redesign, and modernize legacy data systems. Design and develop efficient ETL pipelines for data extraction, transformation, and loading to support analytics and ML models. Ensure robust data governance by maintaining high standards of data security, integrity, and compliance with regulatory requirements. Monitor, troubleshoot, and optimize data workflows and pipelines for enhanced system performance and scalability. Provide hands-on technical expertise and guidance across data engineering projects, with a focus on cloud adoption and automation. Work in an agile environment and contribute to continuous delivery and improvement initiatives. Experience Requirements: 5-10 years experience in designing and implementing data engineering solutions in GCP or other leading cloud platforms. Solid understanding of legacy data infrastructure with demonstrated success in modernization and migration projects. Proficiency in programming languages such as Python and Java for building data solutions and automation scripts. Strong SQL skills, with experience in working with both relational (SQL) and non-relational (NoSQL) databases. Familiarity with data warehousing concepts, tools, and practices. Hands-on experience with data integration tools and frameworks. Excellent analytical, problem-solving, and communication skills. Experience working in fast-paced agile environments and collaborating with multi-disciplinary teams. Education: B.tech, M.tech, B.com, M.com, MBA, any PG.