Data Engineering Lead leading teams in designing and building data solutions for Morgan Stanley. Focusing on data platforms, microservices, and large datasets.
Responsibilities
Lead and develop one or more teams in the Application and Data Engineering team
Design, build, and maintain scalable and resilient data platform solutions
Collaborate with application teams to design and deploy microservices-based architectures
Work closely with development teams to optimize application performance and troubleshoot production issues
Communicate regularly with product leads across the technology organization
Requirements
At least 12 years' relevant experience
Bachelor's degree in computer science, Engineering, or equivalent practical experience
Advanced understanding and experience in building data pipelines, data engineering and database technologies like IBM DB2, Postgres, Snowflake
Experience in working with large datasets using a combination of technology (Big data platforms like Hadoop)
Familiarity with cloud platforms (AWS, Azure) and scripting languages like Python, Perl
Ability to present information in a clear and concise manner to technology and business leadership.
Experience with reporting tools such as PowerBI, and Tableau.
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