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Marsh McLennan
Marsh McLennan
Sponzor vizuma H1BFinancePravoTrženje
Marsh McLennan je globalno podjetje za strokovne storitve, ki deluje na področjih tveganj, strategije in svetovanja, povezanega z ljudmi. Njegova podjetja vključujejo Marsh, ki zagotavlja zavarovalno posredništvo in upravljanje tveganj; Guy Carpenter, osredotočen na pozavarovanje in kapitalske strategije; Mercer, ki strankam nudi svetovanje na področjih zdravja, premoženja in kariere; ter Oliver Wyman, specializiran za svetovanje o strategiji, ekonomiji in blagovnih znamkah. Z več kot 85.000 zaposlenimi po vsem svetu Marsh McLennan združuje strokovno znanje s področij financ, svetovanja, trženja in povezanih strokovnih storitev. Zaposlitvene priložnosti v podjetju vključujejo vloge, ki podpirajo svetovanje strankam, analizo tveganj, poslovno strategijo, svetovalne in operativne ekipe v vseh štirih podjetjih.
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Delovna mesta v podjetju

Senior Technical Lead, Data Engineering — Marsh McLennan, Mexico City

Lead hands-on data engineering teams at Marsh McLennan, turning business priorities into reliable data solutions. Build and operate Databricks pipelines across AWS and Azure.

MXMehikaHibridnoPolni delovni časSeniorZahtevani Jezik: angleščinaPodatkovni znanstvenik
AWSAzureGoogle Cloud PlatformOblakPythonSparkSQLUnity

Opis

  • Lead a delivery squad of 4–8 data engineers, including employees and contractors.
  • Set technical direction, break work into manageable tasks, coordinate sprint execution, and own the squad’s deliverables.
  • Shift with the engineers to priority initiatives as projects wrap up or move into steady-state operations.
  • Write code, build pipelines, and troubleshoot production issues with SQL, Python, and Spark.
  • Design data models, medallion architectures, ingestion contracts, and reusable engineering patterns.
  • Manage schema changes, data quality checks, idempotency, and data lineage.
  • Partner with Engagement Leads and business stakeholders to turn business problems into data solutions.
  • Advance CI/CD, version control, testing, code reviews, documentation, developer experience, and operational practices.
  • Run Databricks on AWS and Azure with Unity Catalog, Delta Lake, Spark, infrastructure as code, Git workflows, and pipeline orchestration tools.

Zahteve

  • At least 5 years of hands-on data engineering experience, including some experience leading or mentoring engineers.
  • Strong, recent, regular use of SQL, Python, and Spark.
  • Practical experience with cloud data platforms, preferably Databricks; Snowflake, Synapse, or similar platforms are also relevant, on AWS, Azure, or GCP.
  • Ability to lead a blended team of employees and contractors by setting expectations, managing performance, and building cohesion.
  • Working knowledge of modern engineering practices, including Git, CI/CD, automated testing, infrastructure as code, and DataOps.
  • Curiosity about the business domain.
  • Clear communication skills to explain technical tradeoffs to business leaders and convey business requirements to engineers.
  • Databricks experience with Unity Catalog, Delta Lake, medallion architecture, and Databricks workflows is valued.
  • Experience with dbt or a similar transformation framework is valued.
  • Familiarity with data governance practices such as lineage, access controls, metadata management, and data quality frameworks is valued.
  • Previous work in financial services, insurance, benefits, or consulting is valued.
  • Experience building ingestion pipelines for documents or unstructured data is valued.
  • Exposure to LLM-based tools, AI-assisted development, or analytics engineering is valued.

Ugodnosti

  • Hybrid work with flexibility to work remotely and collaborate in the office.
  • Opportunities for professional development through in-office collaboration.
  • A diverse, inclusive, and flexible work environment.

Sorodna delovna mesta