Job Description

• Collaborate with End Users, Business Analysts, and translate requirements into robust, scalable, operable solutions.
• Build, Test, Deploy Data Pipelines for both Real time , Batch and Hybrid Frameworks
• Implement Best Practices and Performance Optimization on Big Data Pipelines to achieve the best data engineering outcomes
• Troubleshoot & Resolve Issues across various toolsets and services on the Big Data Platform
• Work with various stakeholders within IT and Business and Support the Projects Life Cycle (Agile & SDLC)
• Employ DevOps to deliver Codes from Development to Production using relevant technologies

• Overall, 7-10 years of relevant working experience in Data Management / Integration / Modelling the data warehouse in a Banking environment
• 5+ Years\' Experience with Teradata FSL-DM
• 5+ Years as a hands-on technologist familiar with SQL, UNIX and Teradata tools and technologies
• 5+ Years\' experience, Designing, Architecting, Implementing, and optimizing high throughput fault tolerant data pipelines for Batch (ETL/ELT)
• 3+ Years\' experience with Architecting Frameworks for Self Service Platforms/Data Market Place/ data at Scale
• 4+ Years\' experience with collaborating and fronting business users for gathering Requirements and translating to Technical Outcomes
• 3+ Years\' experience with Performance Tuning on Teradata or other MPP data pipelines
• Demonstrable automation experience on Unix Shell Scripting
• Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes
• Possess Good Communication Skills

eFinancialCareers