Job Title: Software Developer w/ Data Analytics
Location: Alpharetta, GA 30005
Work Type: Onsite (5 days onsite)
Job Type: Contract to Hire
Rate: $50-60/hour on c2c

Notes:

• Duration: 6 18 months+
• Interview Process: Video interview followed by In-person interview
• Citizenship Requirement: Citizen or Green Card only

Must Have

• • We are looking for a candidate with 7+ years of experience in Software Development role, Hands-on programming experience with Python, Java, or C#.
  • Advanced working knowledge and experience with data modelling, data warehousing concepts, database design principles, query authoring (SQL) and performance optimization.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
  • Working knowledge of a visualization/reporting tool.
    • Experience with Cloud technologies like Snowflake, Microsoft Azure, Databricks, etc. is a plus.
    • Experience with data-science tools / workbench like Dataiku, Jupyter, Rapid Miner, etc. is a plus.
    • Experience with Big Data tools / technologies: Hadoop, Pig, Hive, Hue, PySpark etc. is a plus.
    • Experience with ETL tools like Azure Data Factory, Informatica, etc. is a plus.
  • Good communication
  • LinkedIn Page

Company Profile:

• Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
• The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
• As a market leader, the talent and passion of our people is critical to our success.
• Together, we share a common set of values rooted in integrity, excellence, and strong team ethics.
• Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow.
• A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Technology:

• Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets.
• Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools.
• Our insights, our applications and infrastructure give a competitive edge to clients' businesses-and to our own.

MS Investment Management Technology:

• Morgan Stanley Investment Management Technology (IMIT) exclusively partners with the Morgan Stanley Investment Management (MSIM) business division to design and develop systems and integrate vendor products to globally support full life cycle business processing.
• Activities include Portfolio Analysis, Risk, Trading, Operations, and Sales & Marketing. Morgan Stanley Investment Management (MSIM) Technology also provides holistic support and quality assurance across the suite of applications used in the MSIM environment.
• The IMIT Sales Technology team owns Sales & Distribution technology platform.
• The team is responsible for defining technology strategy in-line with business goals and providing solutions in a very dynamic environment.
• Sales Platform is a distributed system with several integrated components, providing customized CRM functionality, data/process integration with firm systems, business intelligence through Reporting & Analytics and data driven Marketing & Lead Generation.

Overview:

• We are looking for a Software Developer to join our team with growing requirement of Data & Analytics.
• The hire will be responsible for collaborating with business users and delivering analytics projects.
• Also, they will be building and optimizing our data storage and pipeline architecture to provide a strong base for our data platform.
• Furthermore, they will work on a variety of projects around Analytics, Digital Marketing Integration, Campaign Management, Lead Generation, Data Integration and Visualization.
• The ideal candidate is an experienced software developer who enjoys optimizing data and analytics systems and building them from the ground up.
• They must be self-directed and comfortable supporting the needs of multiple systems and projects.
• Candidates will be expected to be very hands-on and pick up domain knowledge.
• We focus on solving the problem and not getting tied down by technological choices - it is extremely important that candidates are open to learning & working with technologies that are new for them.
• We support what we build candidate will be responsible for post-production support on a rotation basis.

Responsibilities:

• Collaborating with technology and business users to define key business metrics and develop analytical dashboards to provide actionable insights to Clients.
• Build and optimize data pipelines to consume data from various sources, transform & model it, and then distribute it to multiple consumers.
• Work with multiple data sources (including structured and unstructured) to create an optimize data cubes for consumption by analytical dashboards and / or downstream systems.
• Identify, design, and implement improvements / automations for optimizing data processing, storage, and availability, while maintaining scalability, etc.
• Build and support analytics tools that utilize the data pipeline to provide actionable insights into data trends and other key business metrics.
• Develop and support analytics & machine learning projects.
• Support migration of the data platform from on-premises to cloud infrastructure.
• Work with various stakeholders including Technology and Client teams to assist with data & analytics related projects and issues.

Qualifications:

• We are looking for a candidate with 7+ years of experience in Software Development role, who has attained a bachelor's or master's degree in computer science, information technology/systems or another relevant technical field.
• Advanced working knowledge and experience with data modelling, data warehousing concepts, database design principles, query authoring (SQL) and performance optimization.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Hands-on programming experience with Python, Java, or C#.
• Working knowledge of a visualization/reporting tool.
• Excellent problem-solving and analytical skills with attention to details.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Excellent communication and collaboration skills.

Skillset and Experience:

• Experience with Relational database systems like Sybase, SQL Server, Postgres, etc.
• Experience with object-oriented or function scripting languages: Python (NumPy, Pandas), Java, C++, or Scala, etc.
• Working knowledge of visualization tools like Tableau, QlikView, Power BI etc.
• Experience with Cloud technologies like Snowflake, Microsoft Azure, Databricks, etc. is a plus.
• Experience with data-science tools / workbench like Dataiku, Jupyter, Rapid Miner, etc. is a plus.
• Experience with Big Data tools / technologies: Hadoop, Pig, Hive, Hue, PySpark etc. is a plus.
• Experience with ETL tools like Azure Data Factory, Informatica, etc. is a plus.
• Experience with machine learning / artificial intelligence techniques like regression, classification, clustering, time series, text mining, large language model, etc. is a plus.