Cloud Data 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:

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

Key Responsibilities:

  • Design and implement data platforms that meet the needs of our business stakeholders, ensuring high availability, scalability, and performance.
  • Collaborate with cross-functional teams to understand business requirements and technical needs, and provide guidance on selecting the appropriate tools and technologies to meet project objectives.
  • Configure and optimize the tech stack, including Spark, NiFi, Python, R, Databricks, IDMC, Snowflake, AWS S3, Glue, and Athena, to create efficient data ingestion and processing data platforms.
  • Work closely with development teams to improve data collection, quality, reporting, and analytics capabilities, and provide guidance on selecting the appropriate tools and technologies to meet project objectives.
  • Provide technical leadership and expertise to the team, and collaborate with stakeholders to achieve high availability and scalability over the data platform.
  • Stay up-to-date with the latest technologies and trends in data engineering, and implement new technologies and architectural patterns to improve the data platform.
  • Collaborate with data governance team on technology obsolescence, component re-use, and platform modernization.
  • Participate in cost estimations during budget cycles, and empower development teams to deliver 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, 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 the solution when provided with the business requirement.
  • An inquisitive mind set 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.
  • Ability to take decisions during crisis.
  • 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.

What We Offer:

  • A company with a strong brand and strong results to match.
  • Culture of internal mobility, collaboration, and valued partnership from the business.
  • Employee Resource Groups which provide access to leaders, relevant volunteer and mentoring opportunities, and interactions with counterparts in industry groups and client organizations.
  • Entitled to vacation, floating holidays, time off to give back to your community, sick days, and national holidays (with early dismissal).

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