Position details:

Reporting to : Vice President

Cloud Data Engineer with a good technology background and hands-on experience working in an enterprise environment, designing, and implementing data warehouses, data lakes, and data marts for large financial institutions. In this role you will work with technology and business leads to build or enhance critical enterprise applications in the cloud (AWS). In this role you will work with technology leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS) along with Up-to-date Data Stack containing Snowflake Data Platform and Starburst Data Virtualization tool for Semantic Layer Build out. Successful candidates will possess in-depth knowledge of current and emerging technologies and demonstrate a passion for designing and building elegant solutions and for continuous self-improvement.

Roles and Responsibilities:
- Manage data analysis and data integration of disparate systems.
- Work with business users to translate functional specifications into technical designs for implementation and deployment.




- Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or data warehouses.
- Work with cross functional team members to develop prototypes, produce design artifacts, develop components, perform, and support SIT and UAT testing, triaging and bug fixing.
- Optimize and fine-tune data pipelines jobs for performance and scalability.
- Implement data quality and data validation processes to ensure data accuracy and integrity.
- Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs.
- Convert physical data integration models and other design specifications to source code.
- Ensure high quality and optimum performance of data integration systems to meet business solutions.

Requirements
Job Requirements:

Bachelors’ Degree (or foreign equivalent degree) in Information Tec

📌 Data Engineer Analyst (Bengaluru)
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