Data Engineer_Director_Data & Analytics Engineering

Profile Description We’re seeking someone to join our Enterprise Technology team as a Data Engineer, in Workforce Technology & Services for the modernization of tooling enablement function. As a Senior Data Engineer, you will be responsible for design, modelling, development and management of data warehouse objects in Snowflake data store utilizing effective data pipelines such as Talend, Informatica and APIs. The ideal candidate should have the skills listed below but in addition should be a self-driven, dedicated individual who works well in a team and thinks and acts strategically. 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 Director position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. 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: * Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing. * Migrate existing data domains/flows from relational data store to cloud data store (Snowflake). * Identify and optimize new/existing data workflows. * Identify and implement data integrity practices. * Integrate data governance and data science tools with Snowflake ecosystem as per practice. * Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store. * Collaborate with team members to design and implement effective data workflows and transformations. * Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs. * Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem. * Participate in code reviews and provide constructive feedback to improve team deliverables quality * Design and develop data ingestion pipeline using Talend/Informatica using industry best practices. * Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule. * Design, implement data distribution layer using Snowflake REST API. 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 * Experience in data analysis, data objects development and modeling in Snowflake data store. * Snowflake REST API experience * Informatica ETL and Talend ETL experience. * Efficient SQL queries development and Python scripts development experience. * Proven ability to work in distributed systems * Proficiency with relational databases (such as DB2, SQL) querying and focus on data transformations. * Excellent problem-solving skills and team-oriented mindset * Strong data modelling concepts and schema design on relational data store and on cloud data store. * Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles. * Familiarity with data visualization tools such as Tableau and PowerBI is a plus. * Collaborating with data scientists/experts to integrate machine learning models into Snowflake 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...