Data Engineer at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

0.0

Posted On

16 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, Data Warehousing, Python, PowerShell, CI/CD, Cloud Platforms, Azure, AWS, Relational Databases, NoSQL Databases, Data Integrity, Performance Optimization, Automation, Documentation, Collaboration Tools, Analytical Skills

Industry

Financial Services

Description

- 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. - 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 - Knowledge using collaboration and communication tools (Zoom, Teams, WebEx) #BPTECH #LI-hybrid 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. 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. If this 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? Speak to our recruitment team to find out more. 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.

Responsibilities

The Data Engineer will design, build, and maintain ETL pipelines, ensuring data integrity and optimizing performance. They will also automate validation processes and document workflows.