
Senior Analyst- Data Visualization
- Bangalore, Karnataka
- Permanent
- Full-time
- Manage data analysis and data integration of disparate systems using data virtualization platforms
- Develop and implement data mesh and data fabric architectures to enable decentralized data management and access.
- Perform federated querying to access and analyze data across different data sources.
- Develop user personas and business personas in alignment with data requirements and deliver solutions that meet business needs.
- 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, SaaS solutions such as snowflake or cloud based data warehouses.
- Work with cross functional team members to develop prototype, 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 codes
- Ensure high quality and optimum performance of data integration systems in order to meet business solutions
- Bachelors Degree (or foreign equivalent degree) in Information Technology, Information Systems, Computer Science, Software Engineering, or a related field. Experience in the financial services or banking industry is preferred.
- 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platforms such as Denodo, Starburst or OSS platforms is highly desirable.
- 5+ Years of experience working as a Report Visualization Engineer with Power BI, Tableau, or any similar Reporting Platforms with End-to-End delivery.
- 3+ Year of experience with implementation of Data Modelling, Data Governance and RLS.
- 3+ Years of experience with Enterprise Deployment Strategies and migration of legacy platform reports to modern reporting platforms.
- Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes or modern data platforms like Snowflake.
- Assist Data Management Engineering Team (either for Data Pipelines Engineering or Data Service & Data Access Engineering) for ETL or BI Design and other framework related items.
- Solid understanding of data modeling, database design, and ETL principles.
- Experience working with data lakes, data warehouses, and distributed computing systems.
- Familiarity with data governance, data security, and compliance practices in cloud environments.
- Strong problem-solving skills and the ability to optimize and fine-tune data pipelines and Spark jobs for performance.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Tableau/Power BI / Snowflake / Starburst certifications on Data related specialties are a plus.
- Power Platform experience ( Power Apps, Power Automate) will be a plus.
- Business Acumen:15% Knowledge of Banking & Financial Services Products (such as Loans, Deposits, Forex, etc.). Knowledge of Operational/MIS Reports, Risk and Regulatory Reporting for a US Bank is a plus.
- Data Skills: 25% Must have proficiency in Data Warehousing concepts, Data Lake & Data Mesh concepts, Data Modeling, Databases, Data Governance, Data Security / Protection, and Data Access.
- Tech Skills: 50% See above
- Human Skills: 10% Excellent communication and collaboration skills, with the ability to work effectively in a team environment.