Analista de Engenharia de Dados Sênior

New
J
JobgetherData Engineering
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
AWSPythonSQLApache AirflowData engineeringSparkCI/CDPySpark

Requirements

  • Bachelor's degree or equivalent higher education.
  • Solid professional experience with PySpark and distributed data processing frameworks.
  • Strong knowledge of Apache Airflow, Apache Spark, and Hadoop where applicable.
  • Proficiency in programming languages, particularly Python.
  • Hands-on experience with AWS services such as EMR, Lambda, DynamoDB, and S3.
  • Good knowledge of SQL databases and data processing concepts.
  • Familiarity with DevOps practices, CI/CD pipelines, and modern software delivery processes.
  • Strong analytical skills and the ability to translate complex business rules into technical solutions.
  • Critical thinking, efficiency, and a mindset oriented toward optimization.
  • Clear communication and collaboration skills.

Responsibilities

  • Develop and maintain scalable, efficient, and resilient data pipelines using PySpark and distributed processing frameworks.
  • Modernize legacy data processes by migrating them to scalable distributed-processing architectures.
  • Design and implement data processing solutions within AWS environments.
  • Build and evolve Data Products and implement complex data transformations across large-scale datasets.
  • Support data quality initiatives by developing monitoring applications, dashboards, and underlying data flows.
  • Collaborate with product teams, data analysts, and other stakeholders to translate requirements into effective data solutions.
  • Optimize data architectures focusing on performance, governance, scalability, and cost efficiency.
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