Data Visualisation Specialist- Manager

About the role

Position Title: Data Engineer or Data Visualization Analyst Corporate Title: Assistant Vice President Reporting to: Vice President Job Profile Position details: Cloud Data Engineer and Data Visualization Specialist with a strong 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. The ideal candidate will have BI & Analytics experience along with experience in Data Engineering or building Data Pipelines. In this role you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS) along with Modern 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 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 Job Requirements: 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+ Year of experience with implementation of any Regulatory Reporting with AXIOM (Mandatory). 5+ Years of experience working as a Report Visualization Engineer with Axiom, Power BI, Tableau or any similar Reporting Platforms with End-to-End delivery. 5+ years of experience with data virtualization, data mesh, data fabric, and federated querying platform such as Denodo, Starburst or OSS platforms is highly desirable. 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 environme