EY

Senior Data Engineer – MLOps, Real-time processing

EY

full-time

Posted on:

Location Type: Hybrid

Location: São Paulo • Brazil

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Job Level

Senior

Tech Stack

KafkaPySpark

About the role

  • Lead the diagnosis of organizational impacts, mapping all affected areas, processes, and people.
  • Develop a strategic Change Management plan aligned with project timelines.
  • Create and manage the communication plan to ensure all stakeholders receive the right information at the right time.
  • Plan, coordinate, and deliver training and enablement activities for impacted teams.
  • Act as the focal point across workstreams, facilitating collaboration and alignment between business, product, technology, and client teams.
  • Define and monitor KPIs for adoption and change success.

Requirements

  • Completed or in-progress degree in Database Systems, Computer Science, Information Systems, Computer Engineering, or related IT fields.
  • Experience in data engineering on projects involving data ingestion in environments using Databricks and Kafka, with PySpark.
  • Near real-time data processing (Kafka).
  • Productization of Machine Learning models on Databricks (MLOps).
  • CI/CD pipelines (GitHub and GitHub Actions).
  • Agile methodologies.
Benefits
  • Visit go.ey.com/beneficios to explore our range of benefits.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata ingestionPySparknear real-time data processingMLOpsCI/CD pipelinesAgile methodologies
Soft Skills
leadershipcommunicationcollaborationorganizational skills