Senior ETL Developer (Remote)

Qibit was born to transform people’s futures! We are a global network for technology, UX, and digital professionals. Here, companies discover extraordinary talents, while professionals find the best digital job opportunities worldwide.

We are looking for a Senior ETL Developer to work with one of our clients: a Global Technology company focused on web systems development, Education oriented softwares, Digital, and much more

Want to know more? Below you will find some details about the position:

✨ Requirements:

• Advanced/Fluent English proficiency is mandatory;
• Living em Brazil is mandatory
• A degree in Computer Science, Information Systems, or a related field.

✨Main Skills

• Proven experience as an ETL Developer, preferably with Azure.
• Technical Skills: Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and SQL.
• Familiarity with big data tools like Hadoop and Spark is a plus.
• Analytical Skills: Strong analytical and problem-solving skills to handle complex data integration tasks.
• Communication: Excellent communication skills to collaborate with team members and stakeholders.
• Knowledge of programming languages such as Python or Scala.
• Data Modeling: Experience with data modeling and database design.
• Cloud Security: Understanding of Azure security models and best practices for data security.

✨ Responsibilities:

• Design and Implement ETL Processes: Develop ETL processes using Azure tools like Azure Data Factory, Azure Synapse Pipelines, and Azure Databricks.
• Data Integration: Extract data from various sources, transform it into a suitable format, and load it into Azure Data Lake or Azure SQL Database.
• Data Pipeline Management: Create and maintain data pipelines to ensure efficient data flow and processing.
• Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and ensure data accuracy.
• Optimization: Identify and implement process improvements to optimize data delivery and scalability.
• Monitoring and Troubleshooting: Monitor ETL processes and troubleshoot any issues that arise to ensure smooth operation.
• Documentation: Maintain comprehensive documentation of ETL processes and data flows.