Data Engineer

Job not on LinkedIn

🕒 November 7, 2025

🏢🏡 Curitiba – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Logo of Tarmac.IO

Tarmac.IO

WebsiteLinkedIn

201 - 500 employees

Founded 2012

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Tarmac. IO is a technology services company that designs, builds, scales, and supports custom software for organizations of all sizes. They offer UX/UI design, software development, DevOps, data science, product management, and cloud optimization, working across modern languages (Ruby, JavaScript, Python, Java) and following their proven “Tarmac 10” development framework. Tarmac. IO operates globally across many time zones, partners with platforms like Databricks to support data engineering and AI workflows, and has delivered solutions in areas such as healthcare, finance, blockchain, IoT, and education.

📋 Description

• Collaborating with Data Scientists, Analysts, and DevOps • Building and maintaining data ingestion and transformation scripts • Developing and consuming RESTful APIs for data exchange • Implementing testing for data workflows • Managing cloud infrastructure and databases

🎯 Requirements

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

🏖️ Benefits

• 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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