Technical Lead

3 semanas atrás

Belo Horizonte, Minas Gerais, Brasil Dadosfera Brasil Tempo inteiro
**Company Overview**
**Dadosfera** is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities—previously available only to tech giants like Meta, Amazon, Alphabet, and Microsoft—into the hands of small and medium-sized businesses. By democratizing access to these technologies, we empower our clients to accelerate business opportunities through AI-powered Data Apps.
Our platform minimizes the time spent on cloud management and streamlines the entire data lifecycle—from collection and exploration to processing and interaction—allowing clients to focus on their business goals. Built on a high-growth SaaS model, Dadosfera offers tailored solutions that meet real business needs.
What sets Dadosfera apart is our innovative focus on speed, scalability, and flexibility, combining big data storage with advanced analytics to drive strategic decision-making. Leveraging years of experience with data platform implementations on foreign public clouds, we now deliver a cost-effective, locally adapted solution tailored for both Brazilian and global markets. By blending deep expertise with localized infrastructure, Dadosfera provides a powerful, efficient tool that optimizes corporate data management and drives data-driven transformation.
**About the Job**
Dadosfera, a leader in Data & AI Platform Solutions, is looking for top technical leadership talent. We seek someone passionate about data, who thrives in a high-learning, autonomous environment and wants to work with cutting-edge technologies. As a Technical Lead, you will leverage data intelligence and machine learning to analyze Big Data and generate detailed insights on products and users.
**Responsibilities**
- Lead and inspire technical teams, contributing to long-term strategic goals and technical direction for both external and internal projects.
- Manage time effectively and prioritize tasks to meet project deadlines.
- Analyze and explore large datasets, create and support dashboards, and develop intelligent systems.
- Build resilient data pipelines, manage data processing, and support solution deployments.
- Collaborate with stakeholders to deliver high-quality data-driven insights.
**Minimum Qualifications**
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- 7+ years of experience in data engineering, building data pipelines, and cloud computing environments.
- Experience with SQL, Python, and Machine Learning, with strong skills in statistics and data analysis.
- Proficiency in Linux, Shell scripting, and cloud platforms (preferably AWS: S3, EC2, IAM, SageMaker).
- Familiarity with data visualization tools and version control systems (Git).
- Understanding of Data Lake and Data Warehouse concepts.
- Advanced English proficiency.
**Preferred Qualifications**
- Experience with Scala programming.
- Familiarity with NoSQL databases and AWS tools (VPC, Lambda, SNS, SQS, RDS).
- Experience with process automation (CI/CD) and Docker.
- Experience developing ETL/ELT pipelines using tools like Apache Airflow, NiFi, and Spark.

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