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Data Engineer_Associate_Data & Analytics Engineering

Data Engineer_Associate_Data & Analytics Engineering

Morgan StanleyBangalore, India
14 hours ago
Job description

Profile Description

We're seeking someone to join our team as (Associate) who will work as a hands-on Data Base & Pyspark Developer within the AIDT Data & Services RWMS Squad. This position is focused on delivering tactical and strategic solutions to support the Squad for analysis, processing, and reporting.

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.

Analytics Intelligence & Data Technology

Analytics, Intelligence and Data Technology (AIDT) enables and drives strategic data initiatives and business capabilities across Wealth Management.

Data & Analytics Engineering

This is Associate 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 :

  • Perform all Database related work. Design and develop enterprise level data transformations using Python.
  • Analyze Business User Stories and translate them into meaningful tasks.
  • Identify potential improvements to the current design / processes.
  • Design stable, scalable Application database / data warehouse & Distributed Batch.
  • Code and develop the functionality as per the proposed design and requirements.
  • Interface with global team of developers and business users.
  • Work as part of a banking Agile Squad / Fleet.
  • Perform proof of concepts in new areas of development.
  • Participate in all aspects of SDLC (analysis, design, coding, testing and implementation).
  • Actively contribute and participate in design and architecture discussions, daily stand-ups, and Agile Sprint planning sessions.
  • Support continuous improvement of automated systems.

What you'll bring to the role :

  • At least 4 years' relevant experience would generally be expected to find the skills required for this role
  • Experience in building enterprise level applications using Pyspark, DB Engineering, Perl / Shell script, ETL pipeline.
  • Hands-on experience of RDBMS database platforms (like DB2, MSSQL, Sybase)
  • Demonstrated competency in SQL and database programming skills including creating views, stored procedures, triggers, implementing referential integrity, as well as designing and coding for performance tuning.
  • Strong working knowledge in python technologies and expertise in design and development in Distributed Batch System.
  • Scripting experience in Unix / Perl / PowerShell / shell
  • Extensive hands-on data screening, transformation using Pyspark.
  • Understanding of requirements of large enterprise applications (security, entitlements, etc.)
  • Experience with working in an Agile squad / chapter setup. Practiced understanding of Agile development methodologies and understanding of DevOps Integration
  • Strong familiarity with Agile software / tools (e.g., JIRA) and DevOps processes and tools (e.g. Jenkins and TeamCity).
  • Excellent communication and presentation skills; ability to communicate in a clear and concise manner, across all stakeholder groups and with staff from junior to senior level
  • Organized, disciplined, detail-oriented, self-motivated, and focused on delivery.
  • Skills Desired :

  • Experience with Azure / AWS / Google Cloud / Other Cloud-based applications.
  • Prior work in the banking / brokerage industry and knowledge of financial market and wealth management.
  • Exposure to ALM tools to create a productive, high quality development environment.
  • 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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