Senior Data Engineer

The Methodical Group; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading consultancy firm is seeking a skilled Data Engineer offering a remote work environment. The role involves designing and optimizing data migration pipelines, ensuring data accuracy and reliability. Candidates should have strong skills in data engineering, ETL development, and proficiency in Python and SQL. Familiarity with GIS technologies and experience in cloud platforms like GCP, AWS, or Azure are preferred. This position is full-time and requires ownership of your equipment.

Qualificações

• Proven experience in data engineering, ETL development, or data migration within a SaaS environment.
• Strong analytical mindset with high attention to data accuracy and quality.
• Ability to work with multiple data formats (e.g., CSV, structured / unstructured sources).

Responsabilidades

• Design, develop, and implement ETL / ELT pipelines to migrate customer data into the SDL SaaS platform.
• Automate data extraction, transformation, and loading workflows to improve performance and efficiency.
• Participate in peer code reviews and contribute to evolving engineering standards.

Conhecimentos

Data migration

ETL/ELT development

Python

SQL

Data accuracy

Collaboration skills

Ferramentas

GIS technologies

GCP

AWS

Azure

Descrição da oferta de emprego

Data Engineer

Location: Brazil, Fully Remote

Type: Full-time (8 hours / day)

Setup: Consultancy / Freelance

Level: Senior-Mid Level

Industry: Software IT / SaaS

Shift: Graveyard — EST Time Zone

Start Date: December 29, 2025

Equipment: Must have own machine; equipment not provided

Position Overview

We are seeking a skilled Data Engineer to design, build, and optimize data migration pipelines that enable seamless transitions from legacy systems into our SaaS platform. You will work closely with both customers and internal teams to ensure data accuracy, reliability, and long‑term scalability across our product ecosystem.

Key Responsibilities

• Design, develop, and implement ETL / ELT pipelines to migrate customer data from various legacy systems into the SDL SaaS platform
• Transform datasets across multiple formats (e.g., SQL databases, APIs, flat files like CSV) ensuring data integrity and consistency
• Build reusable components and tooling that support repeatable and scalable migration processes
• Automate data extraction, transformation, and loading workflows to improve performance and efficiency
• Partner with customers and cross‑functional teams to deeply understand data requirements and resolve data‑related challenges
• Apply best practices in code quality, testing, CI / CD, and deployment to maintain a robust engineering ecosystem
• Participate in peer code reviews and contribute to evolving engineering standards as we scale
• Support ongoing process improvement by helping build foundational data engineering capabilities

Job Requirements

• Proven experience in data engineering, ETL development, or data migration within a SaaS environment
• Proficiency in Python for data transformation and automation scripting
• Strong hands‑on knowledge of SQL and experience working with relational databases
• Ability to work with multiple data formats (e.g., CSV, structured / unstructured sources)
• Strong analytical mindset with high attention to data accuracy and quality
• Ability to collaborate effectively with both technical and non‑technical stakeholders
• Knowledge of software development best practices, including version control and code reviews

Preferred Qualifications

• Experience with GIS technologies and spatial data formats such as shapefiles
• Familiarity with cloud platforms (GCP, AWS, Azure)
• Experience building scalable data pipelines and automating complex workflows
• Understanding of distributed systems or large‑scale data processing architectures