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Data Engineer_Director_Data and Analytics Engineering

Data Engineer_Director_Data and Analytics Engineering

Morgan StanleyBangalore, India
9 hours ago
Job description

Profile Description

Division

We're seeking someone to join our team as Data Engineer is expected to code, conduct code reviews, and test framework as needed, along with participating in application architecture and design and other phases of the automation

WM_Technology

Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include : Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.

Core Platform Services

Core Platform Services is responsible for driving Resiliency, Automation, Performance, Stability, and Efficiency across Wealth Management Technology.

Data & Analytics Engineering

This is Director position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm's global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm's infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there's ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...

What you'll do in the role :

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
  • Support application team teams with any queries

What you'll bring to the role :

  • 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
  • Experience with Data Modelling
  • Must have strong knowledge of SQL
  • 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
  • Hands-on knowledge on how HDFS / Hive / Impala / Spark works
  • Should have working knowledge of Github, DevOps, CICD / Enterprise code management tools
  • Strong in logical reasoning capabilities
  • Strong collaboration and communication skills
  • 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.
  • WHAT YOU CAN EXPECT FROM MORGAN STANLEY :

    We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. 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. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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.

    Morgan Stanley is an equal opportunities employer. 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.

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    Data Engineering • Bangalore, India

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