Data Platform Engineer

hace 2 semanas

Ciudad de México, Ciudad de México MX003 Marsh And Mclennan Servicios S.A. De Cv A tiempo completo
About the Role

We are seeking a highly skilled Data Platform Engineer to join our team at MX003 Marsh And Mclennan Servicios S.A. De Cv. As a key member of our Data Platform engineering team, you will be responsible for designing, implementing, and maintaining large-scale data platforms built on Kubernetes, AWS services, and other cloud SaaS solutions.

Key Responsibilities
  • Oversee the design, implementation, and maintenance of data platforms, ensuring high availability and scalability.
  • Collaborate with project business teams to understand their requirements and technical needs, and help design architecture using a combination of data tools aligning with MMC's technology standards and security.
  • Set up and manage data platforms, including Databricks, Snowflake, and IDMC, across different regions.
  • Configure and optimize the tech stack, including Spark, NiFi, Python, R, Databricks, IDMC, AWS S3, Glue, and Athena, for efficient performance and scalability.
  • Understand the data landscape, including tooling, tech stack, and source systems, and work closely with development teams to improve data collection, quality, reporting, and analytics capabilities.
  • Provide guidance on selecting the appropriate tools in suitable AWS regions to meet project objectives and performance requirements.
  • Set up a skilled team to support projects in building efficient data pipelines.
  • Collaborate with analytics and business teams to suggest and improve the data platform that supports business intelligence tools, increasing data accessibility, and fostering data-driven decision-making across the organization.
  • Collaborate with different stakeholders, including MMC infra, MMC security, and MMC architecture teams, to achieve high availability and scalability over the data platform.
  • Engage in continuous learning and implementation of the latest technologies.
  • Troubleshoot incidents, identify root causes, fix, and document problems, and implement preventive measures.
  • Set up processes, guidance, and documentation necessary to share best practice guidelines for others to follow.
  • Work with the data governance team on technology obsolescence, component re-use, and platform modernization.
  • Manage crises and solve problems effectively.
  • Be innovative in your design thinking and use your expertise to influence the MMC technology roadmap.
  • Take your architectural designs through our onboarding processes to ensure they meet MMC's standards and conventions.
  • Participate in cost estimations during budget cycles.
  • Empower the development teams to deliver your architectural designs.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Extensive experience in data engineering roles with a focus on building and managing data platforms.
  • Exposure to Big Data / Data Lake frameworks like Spark, Spark Streaming, Python, R, NiFi, AWS S3, Redshift, Glue, Athena, and tools like Databricks, IDMC, Snowflake, MongoDB.
  • Understanding of BI Tools like PowerBI and Qlik is an added advantage.
  • Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams.
  • Ability to design and architect solutions when provided with business requirements.
  • An inquisitive mindset with a track record of seeking out and implementing new technologies and architectural patterns.
  • Self-motivated to excel in a remote position, collaborating effectively with a remote team.
  • You are a self-starter; you can take initiative without waiting for direction.
  • Ability to make decisions during crises.
  • The ability to work in a fast-paced environment with changing priorities and deadlines.
  • You are used to working and communicating with both business and technical stakeholders at varying levels of seniority.
Preferred Qualifications
  • Strong AWS experience.
  • Experience in either Databricks or Snowflake.
  • Experience in Informatica data quality and governance tools (IDMC).

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