Senior Data EngineerDirectorData & Analytics Engineering

Morgan Stanley

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Profile Description

Were seeking someone to join our Enterprise Technology team as a Senior Data Engineer in Workforce Technology & Services for the modernization of tooling enablement function. As a Senior Data Engineer you will be responsible for design modelling development and management of data warehouse objects in Snowflake data store utilizing effective data pipelines such as Talend Informatica and APIs. The ideal candidate should have the skills listed below but in addition should be a self-driven dedicated individual who works well in a team and thinks and acts strategically.

In the Technology division we leverage innovation to build the connections and capabilities that power our Firm enabling our clients and colleagues to redefine markets and shape the future of our communities.

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.

Since 1935 Morgan Stanley is known as a global leader in financial services always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What youll do in the role:

  • Designing implementing managing scalable data solutions using Snowflake environment for optimized data storage and processing.
  • Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
  • Identify and optimize new/existing data workflows.
  • Identify and implement data integrity practices.
  • Integrate data governance and data science tools with Snowflake ecosystem as per practice.
  • Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
  • Collaborate with team members to design and implement effective data workflows and transformations.
  • Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
  • Contribute to proof of concept documentation and best practices for data management and governance within the Snowflake ecosystem.
  • Participate in code reviews and provide constructive feedback to improve team deliverables quality
  • Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
  • Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
  • Design implement data distribution layer using Snowflake REST API.

What youll bring to the role:

  • At least 6 years relevant experience would generally be expected to find the skills required for this role
  • Experience in data analysis data objects development and modeling in Snowflake data store.
  • Snowflake REST API experience
  • Informatica ETL and Talend ETL experience.
  • Efficient SQL queries development and Python scripts development experience.
  • Proven ability to work in distributed systems
  • Proficiency with relational databases (such as DB2 SQL) querying and focus on data transformations.
  • Excellent problem-solving skills and team-oriented mindset
  • Strong data modelling concepts and schema design on relational data store and on cloud data store.
  • Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups across regions and different roles.
  • Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
  • Collaborating with data scientists/experts to integrate machine learning models into Snowflake

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres 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 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.


Required Experience:

Director

Profile Description Were seeking someone to join our Enterprise Technology team as a Senior Data Engineer in Workforce Technology & Services for the modernization of tooling enablement function. As a Senior Data Engineer you will be responsible for design modelling development and management of dat...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics

About Company

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Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1, ... View more

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