Data Engineer_Director_Data & Analytics Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Data Transformation, Data Quality, Python, ETL Processes, Data Manipulation, Workflow Orchestration, Airflow, Dagster, Data Governance, Metadata Management, Data Catalog, REST APIs

Industry

Financial Services

Description

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. 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. Experience with workflow orchestration tools like Airflow, Dagster, or similar. Familiarity with data governance, metadata management, or data catalog tools is added advantage. Experience in design and implementing rest api's . Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations. Experience with workflow orchestration tools like Airflow, Dagster, or similar. 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. 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. 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.

Responsibilities

You will be responsible for building scalable data pipelines and transforming data for analytics and reporting. This role ensures high data quality across the organization.