Data Engineer_Associate_Data and Analytics Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Unix Shell, Python Scripting, Spark, Logical Reasoning, Github, DevOps, CICD, Enterprise Code Management, Team Player, Communication Skills, Snowflake, Data Integration Tools, Apache Hadoop, SQL, Cloud Technologies, ETL Tools

Industry

Financial Services

Description

Design & Develop new automation framework for ETL processing Support existing framework and become technical point of contact for all related teams. Enhance existing ETL automation framework as per user requirements 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 Support application team teams with any queries Required Skills Must be strong in UNIX Shell, Python scripting knowledge Must be strong in Spark Strong in logical reasoning capabilities Should have working knowledge of Github, DevOps, CICD/ Enterprise code management tools 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 a tasks and resolve issues without aid from direct manager or project sponsor. Good to have working experience on snowflake & any data integration tool i.e. informatica cloud Apache Hadoop Apache Spark Unix Shell scripting Python SQL Snowflake/Azure/AWS any cloud IDMC/any ETL tool 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 a new automation framework for ETL processing while supporting the existing framework. Collaborate with teams to enhance ETL automation and optimize processes through automation and new utility development.