Data Engineer_Director_Data and Analytics Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, ELT, Spark, Python, Shell Scripting, Snowflake, Data Integration, Informatica Cloud, GitHub, DevOps, CICD, Performance Tuning, Process Optimization, Automation, Collaboration, Logical Reasoning

Industry

Financial Services

Description

Design & develop new automation framework for ETL processing Enhance existing ETL automation framework as per user requirements Support existing framework and become technical point of contact for all related teams. Performance tuning of spark, snowflake ETL jobs New technology POC and suitability analysis for Cloud migration. Process optimization with the help of automation and new utility development. Work in collaboration for any issues and new features. Support any batch issue At least 6 years' relevant experience would generally be expected to find the skills required for this role Prior experience of working on ETL/ELT pipelines (batch and realtime). Proficiency in scripting language like shell, python, etc. Must be strong in Spark Hands on knowledge of multiple on-premise and cloud DB. Good to have working experience on snowflake & any data integration tool i.e. informatica cloud Should have working knowledge of Github, DevOps, CICD/ Enterprise code management tools Strong in logical reasoning capabilities Must possess strong team-player skills and should have excellent written and verbal communication skills Ability to create and maintain a positive environment of shared success. Ability to execute and prioritize tasks and resolve issues without aid from direct manager or project sponsor. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

Design and develop new automation frameworks for ETL processing while enhancing existing frameworks based on user requirements. Support existing frameworks and act as the technical point of contact for related teams, focusing on performance tuning and process optimization.