Senior Data Engineer_Director_Data & Analytics Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

0.0

Posted On

10 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Snowflake, ETL, SQL, Python, Data Modeling, Data Governance, Data Analysis, Talend, Informatica, Data Visualization, Machine Learning, Data Integrity, Collaboration, Problem Solving, Documentation

Industry

Financial Services

Description

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. 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 We do it in a way that's differentiated - and we've 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 - 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

Design and implement scalable data solutions in a Snowflake environment, including migrating data domains and optimizing workflows. Collaborate with team members to develop data models and ETL processes, ensuring high-quality data ingestion.