Senior Data Engineer, Big Data

hace 5 días

Ciudad de México, Ciudad de México ZMEX Zillow Mexico, S. de R.L. de C.V. A tiempo completo

About the Role

This role will be responsible for developing and supporting data platform infrastructure. They will utilize data technologies such as Spark, Hive, Airflow, Databricks, Kafka, Flink, and other industry and internal tools.

They will collaborate to provide data platform environments that empower internal ZMEX customers to deliver high-quality data solutions that create trust and delight our customers.

About the Team

The Data Lifecycle Management Team provides guardrails for security, privacy, and data quality ensuring that the data infrastructure and processes adhere to industry standards and best practices.

In addition to the Data Platform Governance team, the senior software development engineers collaborate closely with two other development teams within the Data Platform organization.

Responsibilities

  • Develop and support data platform infrastructure using data technologies such as Spark, Hive, Airflow, Databricks, Kafka, Flink, and other industry and internal tools.
  • Collaborate to provide data platform environments that empower internal ZMEX customers to deliver high-quality data solutions that create trust and delight our customers.
  • Work closely with cross-functional team members and data scientists to understand their requirements and provide solutions.
  • Passion and experience mentoring junior data engineers.
  • Enthusiasm for continuous learning and staying updated with the latest trends and technologies in the data engineering field.
  • Proactive in exploring new tools and techniques to enhance data platform systems capabilities.
  • Experience in software development with one or more programming languages such as Python, Java, C++, etc.
  • Proficiency in developing and supporting services with cloud infrastructure such as AWS.
  • Experience with and ability to debug/troubleshoot container orchestration platforms like Kubernetes.
  • Experience with data infrastructure systems like Databricks, Spark, Hive, Airflow, Trino, Kafka, and Flink.
  • Experience in setting up and optimizing data pipelines.
  • Experience in developing scalable processes for supporting multiple user groups and teams.
  • Familiarity and experience with running on-call operational responsibilities for data platform systems.
  • Databricks experience is a plus.
  • Experience with Data Governance & Compliance (CCPA/CPRA, GDPR, SOX, etc) is a plus.

What We Offer

In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance, and location.

This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company.

Employees may live in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.

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