7 days ago
Mexico City, MexicoMid Level
Responsibilities
- Integrate laboratory and manufacturing systems such as LIMS, OSI-PI, and ELN into reusable and scalable CMC data infrastructure.
- Develop and deploy SQL queries and data pipelines for data aggregation and transformation within cloud data platforms such as Databricks.
- Build curated, trusted, and reusable gold tables from heterogeneous CMC data sources.
- Design and implement visualization and dashboarding applications that turn complex process and analytical data into actionable insights.
- Contextualize data across experiments, processes, samples, materials, methods, and metadata to improve traceability, interoperability, and downstream analytics and modeling.
Requirements
- At least 4 years of experience as a Data Engineer.
- Strong proficiency in Python and SQL.
- Experience with cloud platforms such as Databricks or AWS.
- Familiarity with deploying applications and data workflows to cloud platforms.
- Experience with dashboarding and visualization tools such as Power BI, Spotfire, Tableau, Dash, or Streamlit.
- Advanced English proficiency is required.
Benefits
- Ongoing support and funding for training and development plans.
- Competitive benefits and salary package.
- Opportunities to work for leading global companies.
- Hybrid work arrangement in CDMX.
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.