Data Engineer job opportunity at Morgan Stanley.

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Morgan Stanley Data Engineer

Experience: 3-years

Pattern: full-time

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Budapest, Hung..........Hungary

We’re seeking someone to join our team as a Data Engineer in Enterprise Tech & Services. The Productivity and Collaboration Fleet is responsible for, among other things, video streaming and video conferencing that are business critical for Morgan Stanley’s day to day operations, with both seeing rapid expansion of their firmwide usage. The 80K Morgan Stanley users accumulated over one million live and on-demand views on our internal video streaming platforms last year. Also, the current video conference environment supports thousands of video conference room endpoints and thousands of desktop video users. Our fleet is also responsible for supporting and maintaining firm’s AI solutions, like MSFT Copilot, ChatGP 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 Engineer position at a Director level, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively 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: - Design, build, and maintain ETL pipelines. - Load data from various source systems to data warehouses or lakes. - Optimize pipelines for performance and scalability. - Optimize queries and indexing for performance. - Ensure data integrity and consistency. - Automate validation processes, health and monitoring. - Implement CI/CD for data workflows. - Document processes and maintain data catalogues. - Debug failures and optimize resource usage. What you'll bring to the role: - Be a self-starter - Good analytical and communication skills - Bachelor’s degree or foreign equivalent - 3+ years of experience in Python programming or PowerShell scripting - Experience with continuous integration and development platforms such as Git and Jenkins - Knowledge of Cloud Platforms (Azure, AWS) - 3+ years of operations and development of multiple technology systems in an enterprise environment - Knowledge of relational and NoSQL databases - Experience with data warehousing You might also have: - Knowledge using collaboration and communication tools (Zoom, Teams, WebEx) #BPTECH #LI-hybrid 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 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. Certified Persons Regulatory Requirements: If t his role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. 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.

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Data Engineer job opportunity at Morgan Stanley.

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