Data Engineer_Director_Software Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Agile Methodology, Python, SQL, Unix Shell Scripting, Data Ingestion Framework, Business Intelligence, Data Visualization, DevOps, Continuous Integration, Data Warehousing, Data Modeling, Extract Transform Load, UNIX, Relational Databases, Performance Tuning

Industry

Financial Services

Description

You will be expected to work closely with our business users for projects. The development will be performed using an Agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc.) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership and be able to work well in teams. Candidate needs to keep abreast of new technologies and architect patterns to define and implement state of art systems. The role also demands ability to successfully work with global teams in US and India. Design, development and support of Data Ingestion Framework (using Python, SQL, Unix Shell Scripting etc.) You are in love with Data, Databases, and have your ears to the ground on emerging data technology trends. Business Intelligence reporting through Data Visualization tools like Power BI, Tableau etc. Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git Bachelor's degree in Computer Science, Software Engineering or related field 5+ Years of working experience on Data Warehousing projects and having very good understanding on Data Modeling and Methodologies (Enterprise Transactional Data Model (OLTP) and Dimensional modeling. Well versed with principles, techniques and best practices of data modeling). 3+ Years of strong development experience with Extract, Transform and Load tooling and extensive experience in designing and developing of complex mappings, applying various transformations such as lookup, source qualifier, update strategy, router, sequence generator, aggregator, rank, stored procedure, filter, joiner and sorter transformations 3+ Years of strong development experience in UNIX platform, Python scripting and managing Autosys jobs Advanced proficiency with SQL for generation and extraction of data for use in analytics and reporting Experience in closely working with application teams and managing all the DB related activities such as DB modeling, design, development, maintenance and support Strong Skills in Relational Databases including database design, writing complex queries and stored procedures, performance tuning Experience in integration of various data sources like DB2, Snowflake, Green Plum, SQL Server and Flat Files Knowledge about Devops implementation in Data space Excellent communication, interpersonal, analytical and leadership skill At least 6 years' relevant experience would generally be expected to find the skills required for this role Financial Services experience will be a strong plus 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

The role involves designing, developing, and supporting a Data Ingestion Framework while collaborating closely with business users and global teams. You will also implement DevOps techniques to enable rapid delivery of working code.