Azure Data Specialist

buscojobs Brasil; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology firm in São Paulo is seeking an Azure Data Specialist to develop and manage cloud data infrastructure. You will design scalable data pipelines and ensure data quality and compliance. The ideal candidate holds a Bachelor’s degree in a relevant field and has hands-on experience with Azure tools. This full-time position offers opportunities for growth in a multidisciplinary team environment.

Qualificações

• Bachelor’s degree in computer science, Engineering, Information Systems, or related fields.
• Hands-on experience with Azure tools and practices.
• Proficiency in SQL, Python, PySpark, or Scala.

Responsabilidades

• Design and implement scalable data pipelines using Azure Data Factory.
• Create and maintain data models and integrations between different data sources.
• Ensure data governance and compliance with corporate policies.

Conhecimentos

Data manipulation and transformation languages (SQL, Python, PySpark, Scala)

Data modeling (dimensional, relational, domain-oriented)

Hands-on experience with Azure tools

Code versioning (e.g., Git) and data DevOps practices

Power BI proficiency

Analytical thinking

Proactivity

Formação académica

Bachelor’s degree in computer science, Engineering, Information Systems, or related fields

Ferramentas

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Descrição da oferta de emprego

Join to apply for the Azure Data Specialist role at Bimeda

Responsible for developing and managing our cloud data infrastructure in Microsoft Azure (Data Factory). This professional will be responsible for designing and optimizing data pipelines, integrating information from diverse sources, and ensuring data quality, security, and availability for analysis and reporting. This professional will be responsible for ensuring the efficiency, security, and scalability of corporate data solutions, supporting BI, data science, and data modernization initiatives.

Key responsibilities include:

• Design and implement scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and others.
• Create and maintain data models, ETL/ELT, and integrations between different data sources.
• Ensure data governance, security, and compliance in accordance with corporate and regulatory policies.
• Collaborate with engineering, BI, and data science teams, and business stakeholders to translate requirements into technical solutions.
• Monitor, diagnose, and improve the performance of data environments and pipelines in Azure.
• Automate data ingestion, transformation, and delivery processes.
• Support the implementation of data lakes, data warehouses, and modern data architecture.
• Stay up to date with best practices and innovations in the Azure data ecosystem and services.
• Data Integration: Consolidate structured and unstructured data into analysis-ready formats.
• Pipeline Development: Create and optimize ingestion, transformation, and movement pipelines, focusing on incremental loads.
• Data Platform Management: Implement, monitor, and adjust solutions using Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure Databricks.

Knowledge, Skills And Abilities Required For The Role

• Bachelor’s degree in computer science, Engineering, Information Systems, or related fields.
• Hands-on experience with Azure tools such as:
• Proficiency in data manipulation and transformation languages: SQL, Python, PySpark, or Scala.
• Knowledge of data modeling (dimensional, relational, and domain-oriented).
• Experience with code versioning (e.g., Git) and data DevOps practices.
• Experience with Power BI (data modeling, integration, performance optimization).
• Knowledge of Scala, especially for advanced Spark/Databricks workloads.
• Background in data governance and data quality initiatives.

Behavioral Skills

• Analytical and solution-oriented thinking
• Proactivity and autonomy
• Good interpersonal communication
• Ability to work in a multidisciplinary team

Seniority level: Entry level

Employment type: Full-time

Job function: Information Technology