Data Warehouse / ETL Engineer

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 a Data & Analytics Engineering III position at the Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. 

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.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.

Wealth Management and Investment Management Technology (WMIMT) is responsible for the design, development, delivery, and support of the technical platform behind the products and services used by the Business. Morgan Stanley Wealth Management (WM) is a product of the acquisition of Smith Barney from Citigroup, which was completed in June '13. Its core client base is individual investors, small- to medium-size businesses and institutions, and high net worth families and individuals.

AIDT under Management Technology provides consistent, trusted, and integrated business information across all platforms and delivery channels within Morgan Stanley Wealth Management (MSWM) businesses. AIDT areas of expertise include but are not limited to Enterprise Data Warehouse (EDW) and Datalake (DL), cross-business-unit Information Management, Business Intelligence and more. AIDT team synthesizes and provisions a multitude of business-critical metrics and underlying detailed information in all Core areas of MSWM. Examples of essential data domains and metrics include Assets, Revenue, Account Demographics, Financial Advisor (FA) information, Securities and Cash Transactions, and so on.

As an integral part of AIDT, Data Integration & Delivery team is tasked with providing insightful and accurate business intelligence on Strategic Client Reporting (SCR), Account Performance metrics, Investment Insights, Trade Surveillance, Anti-Money Laundering and many other aspects of Wealth Management business. The role requires credibility, confidence and active participation with leadership teams, business units and technology groups across the project lifecycle. Specific assignments will depend on the size and complexity of the project.

What you’ll do in the role:

• As an ETL / Hadoop developer, the candidate will design and develop Informatica ETL and Hadoop applications.

• Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.

• Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop Platform.

• Analysis of existing designs and interfaces and applying design modifications or enhancements

• Coding and documenting data processing scripts and stored procedures.

• Providing business insights and analysis findings for ad-hoc data requests

• Unit Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.

• Providing reporting-line transparency through periodic updates on project or task status.

What you’ll bring to the role:

• Bachelor's / Master’s degree in engineering, preferably Computer Science / Engineering 

• 8+ years of experience with the technical analysis and design, development, and implementation of data warehousing / Data Lake solutions.

• 8+ years of Strong SQL programming and stored procedure development skills.

• 8+ years of experience developing in Informatica data management in the cloud or Informatica Power Center and DataStage. 

• 6+ years in Python, Control M orchestration and Bit Bucket and Jenkins and CICD

• 6+ years in Hive/Impala/Spark, Unix, Python, 

• 6+ years Python script development  

• 6+ years relational database design in DB2, Hadoop, Snowflake and Teradata. 

• 6+ years in Strong UNIX Shell scripting experience to support data warehousing solutions.

• 4+ years as an ETL developer in Snowflake

• Some experience in AWS Glue and S3   

• Process orient