Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

• 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills. • Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark. • Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration. • Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources. • Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements. • Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc. • Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets. • Understanding of ER Diagram and Data Modeling concepts • Exposure to Data quality validation • Exposure to Data Management, Data Cleaning and Data Preparation • Exposure to Data Schema analysis. • Exposure to working in Agile framework. • SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit & Lending domain knowledge. • Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous • Retail Credit / Traded Credit knowledge - applications will be considered. Good To Have: • BFSI Domain knowledge • Data Visualization - Tableau or Qlik Sense • Exposure to Hadoop, Hive and ETL. • Working knowledge of any cloud services like AWS or GCP or Azure. • Any relevant certifications would be a plus. Role & Responsibilities: ● Take complete responsibility for the sprint stories' execution. ● Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions. ● Mapping of business entities to technical attributes with the logic for transformation defined clearly. ● Be accountable for the delivery of the tasks in the defined timelines with good quality. ● Follow the processes for project execution and delivery. ● Follow agile methodology. ● Working with the team leads closely and contribute to the smooth delivery of the project. ● Understand/define the architecture and discuss the pros-cons of the same with the team. ● Involve in the brainstorming sessions and suggest improvements in the architecture/design. ● Working with other teams leads to getting the architecture/design reviewed. ● Keep all the stakeholders updated about the project, task status, risks, and issues if any. Bachelor's/Master's in any stream 2-5 years