Snowflake Engineer_Director_Software Engineering at Morgan Stanley

Mumbai City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Database Governance, Automation, Continuous Delivery, Teradata, Python, Object-Oriented Programming, GIT, XML, JSON, YAML, Cloud-Based Databases, Data Science, Airflow, Autosys, Jenkins

Industry

Financial Services

Description

We’re seeking someone to join our FRPPE Tech team as a Snowflake Engineer, in Finance Technology to Infrastructure Data Ingestion team. 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 Associate position that manages and optimizes the technical environment and end-user experience across various workplace technologies for end-users, ensuring seamless operations and user satisfaction across the organization. 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. What you’ll do in the role: Establishing database governance policies and standards for Snowflake and other database adoption and onboarding processes. Supporting daily operations by automating database maintenance activities. Fostering a culture of Continuous Delivery to improve software development and deployment experiences. Automating the migration of database objects to higher environments in Snowflake and Teradata. Monitoring database system metrics to ensure optimal performance. Automating the generation of database plant usage metrics. Performing regular database cleanup and generating alerts for maintenance activities. Automating and extending partition management, historical data purging, and archiving processes. Setting up databases, managing permissions, modeling database objects, and validating database model standards in non-production environments. Automating object and data migration across different databases. Facilitating data transfers between Snowflake and Teradata using export/import utilities specific to each technology. Converting DDL from Teradata to Snowflake. Automating benchmark tests for databases and application migrations. Use if AI for automation of complex processes. 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 with Bachelor's/Master's Degree in Computer Science, Information Systems or related field In Depth Knowledge of any database like Snowflake/Teradata/DB2 RDBMS, clear understanding about OLTP/Batch processing, transaction management, Locking concepts. Clear Understanding about various modeling techniques. Should be able to understand query/explain plan of the query and figure out issues with query, predicate analysis, statistics analysis. In depth knowledge of Python, object-oriented programming using Python. Understanding of core development principles and processes. Proficient in using code repositories, specifically GIT. Practical knowledge of XML, JSON, and YAML for data processing. Experience working with cloud-based databases is a strong advantage. Preferred Skills Hands-on experience in AI, data science, or research domains. Experience with job scheduling tools, such as Airflow, Autosys, or Jenkins. Practical experience in data engineering operations, including data export/load processes and object migrations. Detailed knowledge about Power BI is huge plus. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. 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. 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. At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values. Morgan Stanley is dedicated to providing first-class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions—and in the ability of capital to work for the benefit of all society. What We Do

Responsibilities

The role involves establishing database governance policies for Snowflake and automating daily maintenance activities, including database object migration between Snowflake and Teradata. Responsibilities also include monitoring system metrics, performing cleanups, and automating complex processes using AI where applicable.