BR Data Engineer

2 semanas atrás

Curitiba, Paraná, Brasil Tarmac Tempo inteiro

Core Skills & Knowledge Areas

  1. Python
  • Data manipulation: Proficiency with libraries like pandas , numpy , and pyarrow .
  • Scripting & automation: Writing reusable, modular scripts for data ingestion and transformation.
  • APIs: Consuming and building RESTful APIs for data exchange.
  • Testing: Unit testing with pytest or unittest .
  1. Cloud Platforms
  • AWS / Azure / GCP: Familiarity with services like:
    • AWS: S3, Lambda, Glue, Redshift, EMR
    • Azure: Data Factory, Blob Storage, Synapse
    • GCP: BigQuery, Cloud Functions, Dataflow
  • Infrastructure as Code (IaC): Tools like Terraform or CloudFormation.
  • Security & IAM: Managing access and permissions.
  1. Back-End Development
  • Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB).
  • APIs: Building data services using frameworks like Flask, FastAPI, or Django.
  • CI/CD: Familiarity with Git, Docker, Jenkins, or GitHub Actions.
  1. ETL / ELT Pipelines
  • Pipeline orchestration: Tools like Apache Airflow, Prefect, or Luigi.
  • Data transformation: Using SQL, dbt, or Python scripts.
  • Batch vs Streaming: Understanding of Kafka, Spark Streaming, or Flink.
  • Monitoring & Logging: Ensuring data quality and pipeline reliability.

Tools & Technologies

  • Programming: Python, SQL.
  • Cloud: AWS, Azure, GCP.
  • Orchestration: Airflow, Prefect.
  • Databases: PostgreSQL, BigQuery, Redshift.
  • Data Lakes: S3, Azure Data Lake.
  • Containers: Docker, Kubernetes.
  • Version Control: Git, GitHub/GitLab.

Soft Skills & Other Requirements

  • Problem-solving: Ability to debug and optimize data workflows.
  • Teamwork: Collaborating with Data Scientists, Analysts, and DevOps.

Some of our perks

  • Fresh fruit sometimes, spoiled fruit all the time.
  • You can work from anywhere, including your home.
  • Flexible hours.
  • Team lunches, Bday celebrations, happy hours.
  • Wellness program and company retreats.
  • English lessons.
  • Courses and training.
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