Hadoop Database Developer - Associate - Software Engineering
RMZ Ecoworld - Campus 6A, India
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Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.Profile Description
We’re seeking someone to join our team as (Associate) who can support activities for WMPT India including Hiring, MIS, resource management, time management, and reporting.
WM_Technology
Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.
WM Product Technology
Wealth Management Product Technology (WMPT) is a dynamic and fast-paced area within the Firm’s WM Technology Division. We are responsible for creating innovative technology solutions for the Private Banking Group (PBG), one of the strategic growth areas of the Firm, providing cash management and lending products and services to our WM clients. This includes state-of-the-art technology for a nationwide network of Private Bankers and product specialists who work with Financial Advisors to provide access to products and services such as online banking, cards, deposit products, residential mortgages, securities-based loans, and tailored lending. If you are an exceptional individual who is interested in solving complex problems and building sophisticated solutions in a dynamic team environment, WMPT is the place for you.
Software Engineering
This is Associate position that develops and maintains software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…
What you’ll do in the role:
• Looking for a skilled and experienced Hadoop, PL/SQL, SQL Database Developer to join our team.
• In this role, developer will be responsible for developing and maintaining Hadoop-based solutions and managing SQL, DB2 databases.
• Developer needs to work closely with cross-functional teams to design, develop, and optimize data processing pipelines and database systems.
• Work with client and business analysts to review their business requirements.
• Support implemented solutions by: tuning and code fix, addressing user questions concerning data or application, monitoring performance and communicating functional and technical issues.
• Working in the Agile development methodologies, collaborating with business and technology teams located globally.
What you’ll bring to the role:
Maandatory Skills:
• At least 2+ years of strong experience in Hadoop ecosystem, including HDFS, MapReduce, Hive, and Spark.
• Proficiency in PL/SQL programming and SQL database development.
• Solid understanding of data modeling concepts and database design principles.
• Experience with performance tuning and optimization of SQL queries and database systems.
• Experience in Unix Scripting.
• Experience in building scalable, high-performance, reliable, highly available and large distributed systems with a high degree of autonomy
• Familiarity with data integration and ETL processes.
• Work as part of a banking Agile Squad / Fleet.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
Skills Desired:
• Exposure to Machine Learning Models and technologies such as Pyspark and Spark ML
• Working experience with any of Cloud Providers – Azure, AWS, GCP.
• Working knowledge of Financial market, lending based products and Wealth Management.
• Exposure to JIRA or other ALM tools to create a productive, high quality development environment
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Banking DB2 Distributed Systems Engineering ETL Finance GCP Hadoop HDFS Jira Machine Learning ML models Pipelines PySpark Spark SQL UX
Perks/benefits: Career development Team events
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