Mid-Level Data Engineer

Posted 10hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Engenheiro de Dados desenvolvendo pipelines batch e streaming na Spread Tecnologia. Otimizando data lakes, ETL/ELT e governança em ambientes GCP e AWS.

Responsibilities:

  • Design and implement efficient batch and streaming data pipelines, integrating different sources and formats
  • Maintain and optimize databases and data lakes, ensuring security and performance
  • Develop data ingestion, transformation, and delivery processes (ETL/ELT)
  • Ensure data quality, integrity, and consistency throughout the data lifecycle
  • Collaborate with data science, analytics, and software development teams
  • Monitor and automate data workflows, proposing continuous improvements to the architecture
  • Implement best practices for version control, documentation, and data governance
  • Contribute to the advancement of a data-driven culture within innovation teams

Requirements:

  • Experience working as a Data Engineer
  • Proficiency in data-oriented programming languages (Python, SQL, Scala, or equivalent)
  • Experience with data processing tools and frameworks (Airflow, Spark, Kafka, dbt, Pub/Sub, Kinesis, Cloud Functions, Lambda Functions, etc.)
  • Knowledge of relational and non-relational databases (PostgreSQL, MongoDB, BigQuery, Redshift, etc.)
  • Knowledge of MLOps (Vertex AI, Amazon SageMaker/Bedrock)
  • Experience with cloud environments (GCP and AWS) and managed data services
  • Best practices in version control (Git) and continuous integration
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
  • Knowledge of data modeling for AI, Machine Learning, and/or Deep Learning (preferred)
  • Familiarity with data governance and cataloging tools, such as Data Catalog (preferred)
  • Experience with infrastructure as code (Terraform, CloudFormation) (preferred)
  • Certifications in cloud data engineering or architecture (Google Professional Data Engineer or AWS Data Engineer) (preferred)

Benefits:

  • 100% remote work, depending on the contract model
  • Accessibility and inclusion: this position is also open to persons with disabilities