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Tech Stack
Tools & technologiesAzureETLPySparkSQL
About the role
Key responsibilities & impact- Develop, maintain, and enhance data pipelines and solutions using Microsoft Azure technologies.
- Implement and optimize data ingestion, transformation, and delivery processes.
- Develop solutions using Azure Databricks, PySpark, and SQL.
- Implement solutions based on Medallion Architecture principles.
- Develop analytical data models using dimensional modeling and Star Schema.
- Investigate and resolve incidents, performing troubleshooting and corrections efficiently.
- Ensure the quality, reliability, and performance of implemented solutions.
- Produce and maintain technical documentation for delivered solutions.
- Collaborate with multidisciplinary teams throughout the development and implementation lifecycle.
- Contribute to continuous improvement initiatives and the adoption of Data Engineering best practices.
Requirements
What you’ll need- Advanced English proficiency for working in a global environment.
- Solid experience with Azure Databricks in end-to-end Data Engineering projects.
- Strong knowledge of PySpark and SQL applied to pipeline development and optimization.
- Hands-on experience with dimensional modeling and Star Schema.
- Experience implementing Medallion Architecture in data solutions.
- Knowledge of Azure Data Factory (ADF), Azure Synapse Analytics, and Microsoft Fabric.
- Proficiency in ETL/ELT processes, data ingestion, transformation, and delivery.
- Strong analytical, troubleshooting, and technical autonomy skills.
- Knowledge of Kusto Query Language (KQL), including Extents and Joins.
- Experience with Azure DevOps (ADO) for work-item management and tracking.
- Advanced T-SQL knowledge, including query optimization, indexing strategies, profiling, and performance analysis.
- Experience with Microsoft Fabric in production environments.
- Knowledge of data quality, governance, and performance best practices.
- Microsoft certifications related to Azure Data, Microsoft Fabric, or Data Engineering are considered a plus.
Benefits
Comp & perks- Meal or food allowance
- Multi-Benefit Card (up to Senior Consultant level)
- Medical and dental insurance
- Certifications and training
- Life insurance
- Private pension plan
- Avababy: pregnancy support and a kit for new parents
- Company profit-sharing program
- Wellhub
- Childcare allowance
- Career mentoring
- Birthday Off policy (one day off during your birthday month)
- Wellness sessions
- For management positions: company vehicle, parking, and fuel allowance