Data Engineer (Associate)

Your Team Responsibilities

We're seeking a motivated Software Engineer to join our AI Team. In this role, you'll contribute to the development of robust, scalable software systems that support our AI initiatives and data operations. The ideal candidate has solid software engineering skills, some experience with distributed systems, and familiarity with cloud technologies. We're looking for someone eager to learn and grow, with the potential to contribute to building reliable platforms, not just applications. While AI knowledge isn't required, you should be interested in AI-adjacent projects and enthusiastic about learning.

You'll work collaboratively with cross-functional teams to implement efficient code based on project requirements. Your responsibilities will include assisting in the implementation and maintenance of software infrastructure supporting our AI platform, contributing to system scalability and reliability, and working alongside AI specialists, product managers, and other engineers.

You'll have the opportunity to apply and develop your skills in software engineering and system architecture. If you're passionate about building impactful software systems and want to grow in a fast-paced environment, we encourage you to apply. This role offers the chance to contribute to our AI initiatives while developing your software engineering expertise.

Your Key Responsibilities

1. Assist in designing and implementing scalable distributed systems

2. Contribute to solutions that handle large volumes of data

3. Help develop data processing pipelines

4. Implement data ingestion, processing, and storage workflows

5. Assist in implementing data validation and error handling mechanisms

6. Contribute to systems that maintain data consistency across distributed nodes

7. Help optimize system performance

8. Assist in implementing data analytics and machine learning pipelines

9. Contribute to systems for real-time and batch data processing

10. Help integrate machine learning models into big data workflows

Your skills and experience that will help you excel

1. Bachelor's degree in Computer Science or related field.

2. 3-5 years of relevant experience.

3. Strong hands-on experience with one or more programming languages, particularly Python

4. Exceptional problem-solving skills with the ability to tackle complex technical challenges

5. Familiarity with basic monitoring and logging tools

6. Understanding of batch and real-time data processing concepts

7. Interest in data analytics and machine learning pipelines

8. Familiarity with basic monitoring and logging tools

9. Strong problem-solving and analytical skills

10. Good communication abilities, both written and verbal

11. Ability to work effectively in a team environment

12. Self-motivated with a strong passion for learning new technologies

About MSCI

What we offer you

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.

• Flexible working arrangements, advanced technology, and collaborative workspaces.

• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.

• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.

• Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.

• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.

• We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.

MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

Note on recruitment scams

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