Req ID: 318488NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a ETL / Data Engineer with Snowflake Experience to join our team in Bangalore, Karnxc4x81taka (IN-KA), India (IN).Job Duties: Team Overview
The Controls Engineering, Measurement and Analytics (CEMA) department is responsible for Cyber Risk and Control assessment, management, monitoring, and reporting capabilities across Technology, resulting in risk reduction and better oversight of the technology risk landscape of the firm. Our work is always client focused, our engineers are problem-solvers and innovators. We seek exceptional technologists to help deliver solutions on our user-facing applications, data stores, and reporting and metric platforms while being cloud-centric, leveraging multi-tier architectures and aligned with our DevOps and Agile strategies.
We are in the process of modernizing our technology stack across multiple platforms with the goal of building scalable, front-to-back assessment, measurement and monitoring systems using the latest cloud, web, and data technologies. We are looking for someone with a systematic problem-solving approach, coupled with a sense of ownership and drive. The successful candidate will be able to influence and collaborate globally. They should be a strong team-player, have an entrepreneurial approach, push innovative ideas while appropriately considering risk, and adapt in a fast-paced changing environment.
Role Summary
As an ETL / Data Engineer, you will be a member of the CEDAR / C3 Data Warehouse team, with a focus on sourcing and storing data from various technology platforms across the firm into a centralized data platform used to build various reporting and analytics solutions for the Technology Risk functions within Morgan Stanley. In this role you will be primarily responsible for the development of data pipelines, database views, and stored procedures, in addition to performing technical data analysis, and monitoring and tuning queries and data loads. You will be working closely with data providers, data analysts, data developers, and data analytics teams to facilitate the implementation of client-specific business requirements and requests.
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