Datawarehousing Data Engineer - Director - Data & Analytics Eng III

Morgan Stanley

Bengaluru

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+

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Benefits offered by this job

Comprehensive employee benefits

Opportunities for career progression

Job summary

A leading financial services firm in Bengaluru is seeking a Datawarehousing Data Engineer - Director to build scalable data solutions and ensure data quality. This role involves hands-on experience with tools like Apache Spark and Snowflake. The ideal candidate brings 6+ years in data engineering roles and has strong skills in Python and SQL. The firm values creativity and collaboration among its workforce.

Qualifications

6+ years of experience as a Data Engineer or similar role.
Proficient in Python for scripting and data manipulation.
Experience with workflow orchestration tools like Airflow.

Responsibilities

Build scalable data pipelines and transform data for analytics.
Ensure high data quality across the organization.
Monitor data pipeline health and troubleshoot data issues.

Skills

Data pipeline building

Python

Apache Spark

Snowflake

SQL

Data governance

Airflow

Tools

dbt

Git

CI/CD

Job description

Datawarehousing Data Engineer - Director - Data & Analytics Eng III

Join to apply for the Datawarehousing Data Engineer - Director - Data & Analytics Eng III role at Morgan Stanley

Datawarehousing Data Engineer - Director - Data & Analytics Eng III

Join to apply for the Datawarehousing Data Engineer - Director - Data & Analytics Eng III role at Morgan Stanley

We are seeking a skilled Data Engineer with hands-on experience in Apache Spark or Similar, Snowflake, No SQL , graph database and dbt to join our growing data team.

About CDRR Division

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.

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 a Data & Analytics Engineering Manager position at Director level which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and 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.

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

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.

Seniority level