BR Data Engineer

Tarmac.IO; Curitiba; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading company in data engineering is seeking a skilled Data Engineer to join their team in Curitiba. The ideal candidate will have expertise in Python, cloud platforms, and ETL processes. This role offers the flexibility to work from anywhere, alongside a collaborative team environment. Enjoy perks like flexible hours, wellness programs, and ongoing training opportunities.

Serviços

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.

Qualificações

• Proficiency in Python and SQL.
• Experience with cloud platforms (AWS, Azure, GCP).
• Ability to collaborate with Data Scientists and Analysts.

Responsabilidades

• Develop and maintain data pipelines using ETL/ELT processes.
• Build and consume RESTful APIs for data exchange.
• Implement monitoring and logging for data quality.

Conhecimentos

Python

Data manipulation

Scripting & automation

APIs

Testing

Problem-solving

Teamwork

Ferramentas

AWS

Azure

GCP

Terraform

Docker

Kubernetes

Git

Airflow

PostgreSQL

BigQuery

Descrição da oferta de emprego

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.