Data Tech Lead

Caderno Nacional; Belo Horizonte; Teletrabalho; BRL 60.000 - 120.000; Tempo integral

Resumo da oferta

An innovative company is seeking a skilled data professional to design and implement robust data solutions. This role involves working with stakeholders to identify data needs, developing ETL pipelines, and creating impactful data visualizations. The ideal candidate will thrive in a remote work environment and bring expertise in modern data platforms, data science, and a variety of data tools. Join a forward-thinking team and contribute to exciting data-driven projects that make a real difference in business decision-making.

Qualificações

• Experience with modern data platforms and large data volumes.
• Hands-on experience with AI/ML projects and data visualization tools.

Responsabilidades

• Design and implement ETL pipelines into data warehouses.
• Develop data visualization dashboards and reports.

Conhecimentos

Data Platform Design

Data Visualization

Data Science

Python

ETL Pipeline Development

Ferramentas

Hadoop

Azure Data Lake

Tableau

Power BI

Dataiku

Descrição da oferta de emprego

Segmento:

Não Informado

Atividades:

• Work with stakeholders to identify and understand data-related business needs
• Design and implement ETL pipelines into data warehouses or data lakes
• Maintain data models and schemas for analytics and reporting
• Develop data visualization dashboards and reports
• Ensure secure, scalable, and efficient data solutions
• Coordinate and collaborate in integrating data solutions with other systems and processes
• Deliver high-quality data solutions, conduct code reviews, troubleshoot, and resolve data-related issues

Main Qualifications required:

• Experience with designing and implementing modern data platforms (Data Fabric, Data Mesh, Data Hubs, Data-driven environments)
• Experience in highly complex environments with large data volumes, including cloud/hybrid implementations
• Knowledge of Semantic DBs, Knowledge graphs, Structured and Unstructured Databases
• Experience with Hadoop, Cloudera, Apache Hive, Azure Data Lake, Snowflake, Databricks, Spark, Airflow, Kafka, Talend, Informatica, Tableau, Power BI, Dataiku, Cloud connectivity
• Hands-on experience with Data Science, AI/ML projects, Python, PySpark

Work model:

Remotely

Contracting Type:

CLT + Benefits

Application:

Send CV to:

Additional Information:

Dias da Semana: Não Informado

Horário / Período: Não Informado

Os interessados devem se candidatar através do portal Caderno Nacional