Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior Data Engineer (Senior Manager) Parametric.
India Jobs Expertini

Urgent! Senior Data Engineer (Senior Manager) - Parametric Job Opening In Mumbai – Now Hiring Morgan Stanley

Senior Data Engineer (Senior Manager) Parametric



Job description

ABOUT MORGAN STANLEY
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services.

With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals.

For further information about Morgan Stanley, please visit www.morganstanley.com.



ABOUT PARAMETRIC
Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley.

We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients.

A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs.

We also offer systematic alpha and alternative strategies to complement clients' core holdings.



This role is part of Parametric's hybrid working model, which includes working in the office 3 days a week and choosing to work remotely or in the office the remaining days of the week.



ABOUT THE TEAM
The Data Management Office ensures that data pipelines are scalable, repeatable, secure, and can serve multiple users.

We help facilitate getting data from a variety of different sources, getting it in the right formats, assuring that it adhere to data quality standards, and assuring that downstream users can get that data quickly.



ABOUT THE ROLE
The Senior Data Engineer is responsible for the design, structure, and maintenance of data.

A Senior Data Engineer ensures the accuracy and accessibility of data relevant to an organization or a project.

In this role the Senior Data Engineer needs to be able to take business requirements and design and architecture end to end that fully supports the business needs.

The Senior Data Engineer needs to be an expert in writing and optimizing SQL queries.

They need to be able to document ideas and proposals which will include creating ER diagrams and architectural documents that document the transformation of data throughout its lifecycle.



A successful Senior Data Engineer must possess superior analytical skills and be detail-oriented.

This role requires the ability to communicate effectively as part of a larger team within the information technology department.

Additionally, you will need to explain complex technical concepts to non-technical staff.

Since development of data models and logical workflows is common, a Senior Data Engineer must also exhibit advanced visualization skills, as well as creative problem-solving.



Primary Responsibilities

  • Manage and mentor a team of data engineers, fostering growth and driving culture and objectives.
  • Lead development projects, including all components of the development lifecycle, from requirements gathering to deployment, bug fixes, and enhancements.
  • Works with team members to design and implement data solutions in alignment with the project schedule.
  • Codes, tests, and documents new or modified data systems to create robust and scalable data platform for our applications.
  • Works with developers to make sure that all data solutions are consistent.
  • Expands and grows data platform capabilities to solve new data problems and challenges.
  • Creates data flow diagrams for all of business systems.
  • Implements security and recovery tools and techniques as required.
  • Design of the logical model and implements the physical database to support business needs.
  • Develops, tests, implements, and maintains data applications.
  • Design and implement data models in coordination with business stakeholders and project managers.
  • Resolves conflicts between models, ensuring that data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions).
  • Models best practices in data management.
  • Leads or participates in creating, refining, managing and enforcing data management policies, procedures, conventions and standards.
  • Evaluates and provides feedback on future technologies and new releases/upgrades.
  • Contributes to the establishment of business continuity & disaster recovery requirements, methods and procedures for data systems and databases.
JOB QUALIFICATIONS

SKILL SET

Required Experience: 9+ years in data engineering

3+ in Financial Services Industry

3+ years manager of development team greater than 3 persons

Skill set: SQL/Python/Bash/AWS CLI/Snowflake CLI

Primary Skills
  • Bachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience
  • 9+ years of data engineering, data science, or software engineering experience
  • 4+ years of experience with Snowflake
  • 4+ years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR.
  • 7+ years of SQL Server and experience with tools such as SSIS and SSRS
  • Programming experience in Python and Linux bash
  • Capability of architecting highly scalable distributed systems, using different open-source tools
  • Demonstrated experience with agile or other rapid application development methods
  • Demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures
  • Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
  • Experience using Big Data batch and streaming tools
  • Ability to collaborate and partner across a diverse team
  • Effective communication skills with business user, stakeholders and other developers
  • Ability to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success
Good to Have Skills
  • Masters degree in Computer Science, Mathematics, Engineering or similar is a plus
  • Certifications in AWS or Snowflake
Parametric believes that each employee makes a significant contribution to our success.

That contribution should not be limited by the assigned responsibilities.

Therefore, this job description is designed to outline primary duties and qualifications, but not limit the employee or the organization to just the work identified.

It is our expectation that every employee will offer his/her services wherever and whenever necessary to ensure the success of our services.



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.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Senior Data Potential: Insight & Career Growth Guide


  • Real-time Senior Data Jobs Trends in Mumbai, India (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Mumbai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 514400 jobs in India and 15498 jobs in Mumbai. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Senior Data Engineer (Senior Manager) Parametric Job?

    Great news! is currently hiring and seeking a Senior Data Engineer (Senior Manager) Parametric to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Morgan Stanley adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying India laws and regulations
  • What Is the Average Salary Range for Senior Data Engineer (Senior Manager) Parametric Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Mumbai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Senior Data Engineer (Senior Manager) Parametric?

    Key qualifications for Senior Data Engineer (Senior Manager) Parametric typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Senior Data Engineer (Senior Manager) Parametric?

    To improve your chances of getting hired for Senior Data Engineer (Senior Manager) Parametric, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Senior Data Engineer (Senior Manager) Parametric Job Success
    Morgan Stanley interview tips for Senior Data Engineer (Senior Manager)   Parametric

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Morgan Stanley's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Senior Data Engineer (Senior Manager) Parametric interview at Morgan Stanley, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Morgan Stanley's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Senior Data Engineer (Senior Manager) Parametric Positions

    Setting up job alerts for Senior Data Engineer (Senior Manager) Parametric is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!