We’re a global, cross‑functional team of data engineers and DevOps engineers led by a hands‑on team lead. We build and operate the data platform and services that power analytics and mission‑critical business use cases. We value pragmatic architecture, reliable delivery, and frequent PoCs to validate ideas quickly, leveraging modern tools—including AI—to accelerate development and innovation. We’re looking for a senior team member who can lead initiatives end-to-end—from clarifying requirements with stakeholders, to architecting solution components, implementing PoCs, and guiding production rollout. This role suits a broad generalist in the data domain with strong software engineering fundamentals and an architectural mindset. Build the future MSCI Analytics Data platform Collaborate with Product Management, Program Management and other internal stakeholders to convert business requirements into applications, tools, and deliver these as part of a product release roadmap. Collaborate with engineering teams across data and technology in implementing AI solutions and integrating services with MSCI’s data science products and platforms. Improve and create a modern and sophisticated platform using latest technologies and following industry best practices. Evaluate different Architectural & Design approaches, solutions, frameworks & technologies and recommend the most suitable one. Develop best practices for architecture, design, coding & automated test coverage. Architect, Design and develop secure, high performance, scalable and maintainable applications using appropriate architectural patterns. Ensure optimal availability, latency, scalability, and efficiency of real‑time application development by advocating engineering reliability into the development life cycle with a focus on fault tolerant approaches. Our global operations team handles production support. This role is development-focused with no on‑call responsibilities outside business hours. Contribute actively to the organization’s AI adoption by identifying use cases, collaborating with cross‑functional teams, and leveraging AI‑enabled tools to drive innovation, scalability, and competitive advantage. Broad data technology knowledge (breadth over depth):Relational databases (e.g., Postgres/MySQL/SQL Server/Oracle) and NoSQL (e.g., MongoDB/Cassandra/DynamoDB). Data warehousing/lake patterns (e.g., Snowflake/BigQuery/Redshift, cloud data lake/lakehouse). Data formats & interchange (Parquet, JSON, Avro). 3+ years plus experience with one or more of the following languages: Python, Bash, Go (Go would be preferred) DevOps fluency: version control (Git), CI/CD, containers (Docker), orchestration (Kubernetes or equivalent), and infrastructure-as-code (e.g., Terraform). Highly organized and transparent: able to structure work clearly, maintain accurate documentation of designs, decisions, and processes, ensuring visibility for the team and stakeholders. Mentor and support junior colleagues: share your experience, provide guidance on best practices, and help grow the team’s technical capabilities. Knowledge of C++/Java/Scala is a plus. Working experience with automated scheduling such as AutoSys or Control‑M is plus 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 platform, AI Learning Center , 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. MSCI Inc. is an equal opportunity employer. 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 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. #J-18808-Ljbffr
Data Technology Dmx Ssa Data Engineer
MSCI INC
mexico, mexico
Publicado hace 7 días
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