EXL—Manager

Job description

Description: We are looking for a Python & PySpark developer and data engineer who can design and build solutions for one of our Fortune 500 Client programs in the realm of Financial Master & Reference Data Management. This is high visibility, fast-paced key initiative will integrate data across internal and external sources, provide analytical insights, and integrate with the customer’s critical systems. Requirements: - BE/B.Tech/ B.Sc. in Computer Science/ Statistics, Econometrics from an accredited college or university. - Minimum 4 years of extensive experience in design, build and deployment of PySpark-based applications. - Hands-on experience in Redis, Valkey, OpenSearch database - In-depth knowledge of Python core programming language – lists, dictionaries, tuples - Expertise on Python libraries e.g. pandas, requests, json, flask, pickle - Good understanding on Informatica PowerCenter for building data pipelines - Understanding of Master Data Management processes & domain is preferred. - Hands-on experience writing complex SQL queries, exporting, and importing large amounts of data using utilities. - Ability to build abstracted, modularized reusable code components. - Hands-on experience in generating/parsing XML, JSON documents, and REST API request/responses - Hands-on experience in Redis, Valkey, OpenSearch database - Able to quickly adapt and learn. - Able to jump into an ambiguous situation and take the lead on resolution. - Able to communicate and coordinate across various teams. - Are comfortable tackling new challenges and new ways of working - Are ready to move from traditional methods and adapt into agile ones - Comfortable challenging your peers and leadership team. - Can prove yourself quickly and decisively. - Excellent communication skills and Good Customer Centricity. - Strong Target & High Solution Orientation. Responsibilities: Key Responsibilities - Ability to design, build and unit test applications on Spark framework on Python. - Build Python and PySpark based applications based on data in both Relational (Oracle, SQL Server) and NoSQL database e.g. Redis, Valkey - Build ingestion pipelines to load data into in-memory caching database. - Build data pipelines to load and export data to/from the Master Data Management or Reference Data Management Platform using PySpark - Hands on experience doing at least one MDM implementation using TIBCO, Informatica, GoldenSource or custom-built MDM/RDM platforms - Experience with designing/building Data APIs and its interaction with data consumers - Optimize performance of the built Spark applications using configurations around Spark Context, Spark-SQL and Data Frame. - Build Python programs using module libs e.g. pandas, requests, json, flask, pickle - Experience in processing large amounts of structured data, including integrating data from multiple sources. - Ability to design & build real-time applications using REST API, JSON, XML - Ability to build solutions on AWS services using Glue ETL, Lambda functions on Python - Create and maintain integration and regression testing framework on Jenkins integrated with BitBucket and/or GIT repositories - Participate in the agile development process, and document and communicate issues and bugs relative to data standards in scrum meetings - Work collaboratively with onsite and offshore team. - Develop & review technical documentation for artifacts delivered. - Ability to solve complex data-driven scenarios and triage towards defects and production issues - Participate in code release and production deployment. - Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment