Snowflake Developer - Director - Software Engineering at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, ETL, Data Warehousing, Python, Cloud Data Engineering, Performance Optimization, Agile, DevOps, Automation, Stakeholder Collaboration, Data Engineering, Process Improvement, Innovation, Communication, Collaboration, Problem Solving

Industry

Financial Services

Description

ETL and Data Warehousing: Develop, and maintain robust, scalable ETL pipelines and data warehouse solutions using Snowflake, ETL(Talend Enterprise/ Informatica PowerCenter), and Python. Cloud Data Engineering: Design and implement cloud-native data solutions, ensuring performance, cost-efficiency, and scalability. Performance Optimization: Continuously monitor and optimize ETL processes and data pipelines for maximum efficiency and reliability. Agile & DevOps Implementation: Drive the adoption of Agile methodologies and DevOps best practices to enhance team efficiency and accelerate delivery cycles. Automation & Innovation: Identify opportunities for automation throughout the data lifecycle and implement innovative solutions to streamline operations. Stakeholder Collaboration: Work closely with business, analytics, and IT stakeholders to understand data requirements and deliver solutions that drive business value. 5+ years of experience in data engineering, data warehousing, and ETL development. Advanced proficiency in Snowflake, ETL(Talend Enterprise/ Informatica PowerCenter), and Python. Strong background in designing and implementing scalable, high-performance data pipelines. Demonstrated experience in delivering complex projects. Solid grasp of Agile and DevOps principles with practical experience implementing these in data engineering environments. Excellent communication and collaboration skills. Strong sense of ownership, accountability, and proven problem-solving abilities. Experience driving team transformation and process improvement through automation and cloud adoption. Ability to foster a culture of innovation, continuous learning, and excellence. Prior experience working in fast-paced, data-driven organizations. 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

Develop and maintain robust ETL pipelines and data warehouse solutions using Snowflake and other tools. Collaborate with stakeholders to understand data requirements and deliver solutions that drive business value.