Data Engineer–Data Engineering

Responsibilities

• Contribute to end-to-end data engineering projects, from requirement gathering to solution delivery, including design, development, testing, and deployment of scalable solutions.
• Build and maintain high-performance, reliable data pipelines using SQL, ETL frameworks, and modern cloud-native tools
• Develop and manage large-scale data lakes and data warehouses, ensuring efficient data ingestion, transformation, and integration.
• Leverage analytics tools and best practices to help clients derive meaningful insights and align data models with business goals.
• Ensure data quality, integrity, and governance by implementing effective monitoring, validation, and logging mechanisms.
• Collaborate closely with cross-functional teams and client stakeholders to translate business requirements into technical specifications.
• Participate in code reviews, write clean and maintainable code, and adhere to coding and documentation standards.
• Stay updated with trends in cloud data platforms (e.g., AWS, Azure, GCP) and Big Data technologies, applying innovative ideas to enhance solutions.