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Data Engineer_Director_Data & Analytics Engineering

Data Engineer_Director_Data & Analytics Engineering

Morgan StanleyBangalore, India
12 hours ago
Job description

We're seeking someone to join our team as Datawarehousing Engineer with hands-on experience in Python, Apache Spark or Similar, Snowflake, No SQL , graph database and dbt to join our growing data team.

CDRR_Technology

The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.

Tech Risk Gov & Controls (TRGC)

TRGC provides governance and oversight of Risk across Technology by engaging with internal and external clients, including regulators, to help better identify, manage, mitigate and communicate risk posture.

Software Engineering

This is Director position that develops and maintains software solutions that support business needs.

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 :

You will be responsible for building scalable data pipelines, transforming data for analytics and reporting, and ensuring high data quality across the organization.

This role is ideal for someone who thrives in a fast-paced environment and is passionate about delivering high-impact data solutions.

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 as a Data Engineer or in a similar role.
  • Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
  • Acquainted with implementing and consuming webservices and restful services.
  • Skilled in Apache Spark (especially PySpark) or equivalent.
  • Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
  • Experience with workflow orchestration tools like Airflow, Dagster, or similar.
  • Solid understanding and hands-on experience with dbt for data transformation and modelling.
  • Strong SQL skills and knowledge of data modelling techniques (star / snowflake schema, normalization).
  • Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
  • Familiarity with Git, CI / CD, and version control best practices.
  • Excellent problem-solving, communication, and collaboration skills.
  • Familiarity with data governance, metadata management, or data catalog tools is added advantage.
  • Experience in design and implementing rest api's .

Required :

  • 6+ years of experience as a Data Engineer or in a similar role.
  • Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
  • Acquainted with implementing and consuming webservices and restful services.
  • Skilled in Apache Spark (especially PySpark) or equivalent.
  • Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
  • Experience with workflow orchestration tools like Airflow, Dagster, or similar.
  • Solid understanding and hands-on experience with dbt for data transformation and modelling.
  • Strong SQL skills and knowledge of data modelling techniques (star / snowflake schema, normalization).
  • Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
  • Familiarity with Git, CI / CD, and version control best practices.
  • Excellent problem-solving, communication, and collaboration skills.
  • Familiarity with data governance, metadata management, or data catalog tools is added advantage.
  • 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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