Key Skills: Strong SQL, Python, Pyspark, Jupyter Notebook, Agile / Jira / Confluence, Microsoft Excel, Banking Domain knowledge, Exposure to any cloud (GCP / AWS / Azure) would be a plus
Key Skills for This Role
awsazureconfluenceexcelgcphadoop
Full Job Posting
Must-Have:
● 4+ 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 Modelling 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.
● Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
Graduate in Computer Science, Data Science, or related field. 3-4 years of experience in data engineering or a related field.
Responsibilities
Role & Responsibilities:
Ability to convert business problem to an analytical problem and then finding pertinent solutions
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
Seeking an experienced Scrum Master to drive Agile delivery across two parallel Full Stack Development teams — facilitating ceremonies, managing cross-team dependencies, and ensuring predictable, high-quality sprint deli
We are looking for a Senior Backend Java Developer to design and build the core backend services of a Master Data Management platform for a leading global credit ratings organization. You will engineer the server-side co
We are seeking a seasoned Data Engineer with 7-10 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry The ideal candidate wil
Lead data engineering strategy across multiple projects and teams. Drive innovation in data engineering practices and model optimization. Represent the data engineering team in executive meetings. Develop long-term plans
• Knowledge of OTC/AR, accounting/Cash applications, and communication skill. • Daily task of receiving cash, applying cash to correct policies, research for unapplied cash, • Reporting and resolving open items with Onsh
The SVP, Business Enablement will build and lead the enterprise enablement engine across Domain Operations and F&A Operations SGUs. The role will operate as the horizontal operating system for delivery excellence—integra
Providing high-quality analysis and recommendations to business problems.
Efficient project management and delivery
Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making
Focus on driving efficiency gains and enhancement of processes.
Use of data to improve customer outcomes through the provision of insight and challenge
● 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.
● 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.
Role & Responsibilities: - Ability to convert business problem to an analytical problem and then finding pertinent solutions - Overall business understanding of BFSI domain - Providing high-quality analysis and recommendations to business problems. - Efficient project management and delivery - Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making - Focus on driving efficiency gains and enhancement of processes. - Use of data to improve customer outcomes through the provision of insight and challenge ● 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. ● 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.
About EXL
Professional Services10,001+Founded 1999
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.