Data Engineer – On-Site, Engenheiro de Dados

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Dadosfera

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

💰 $1.8M Seed Round on 2022-06

Artificial Intelligence • SaaS • Data

Dadosfera is a platform that integrates data, artificial intelligence, and advanced analytics to help organizations transform their data-driven decision-making process. It simplifies the journey toward intelligent application development, enabling businesses to accelerate their growth by leveraging reliable, real-time insights. With a focus on accessibility and ease of use, Dadosfera empowers both technical and non-technical users to capitalize on their data for strategic advantages while ensuring robust governance and privacy measures.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines using Python, SQL, and AWS services • Design and evolve layered Data Lake architectures following the Medallion Architecture pattern • Build solutions for ingesting, processing, and integrating structured, semi-structured, and unstructured data • Apply Artificial Intelligence, Machine Learning, or Large Language Models (LLMs) to classify, standardize, validate, and enrich data • Collaborate with software engineers, data analysts, business stakeholders, and clients to translate business requirements into scalable technical solutions

🎯 Requirements

• Solid experience with AWS services, including: Amazon S3, AWS Lambda, AWS Step Functions, AWS Glue, Amazon Athena, Amazon DynamoDB • Strong experience with Python for data engineering, including ETL/ELT and batch processing • Advanced SQL skills, including data modeling, incremental processing, and query optimization • Experience designing and implementing layered Data Lake architectures • Experience working with columnar storage formats, especially Parquet • Experience with Git, source code versioning, and software engineering best practices.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development