Company Description
As a Senior Azure Data Engineer, you are responsible for designing, developing, and maintaining robust, scalable, and secure data pipelines on the Microsoft Azure platform. You play a key role in delivering reliable data to Data Science, BI, and business teams.
Job Description
Key Responsibilities:
- Design and develop data pipelines using Azure Data Factory, Databricks, or other Azure services.
- Implement modern data architectures (Data Lake, Delta Lake, Lakehouse).
- Automate data ingestion, transformation, and exposure processes.
- Maintaining the Microsoft Azure platform
- Optimize performance and manage cloud costs.
- Collaborate with Data Analysts, Data Scientists, and business stakeholders to understand needs and propose suitable solutions.
- Document data flows, models, and best practices.
Qualifications
Required Technical Skills:
- Proficiency with Azure services: Data Factory, Azure Databricks, Azure SQL, Azure Storage, Key Vault, Azure DevOps.
- Experience with distributed data processing frameworks (Spark, PySpark, Databricks).
- Strong skills in SQL, Python, and/or Scala.
- Knowledge of CI/CD principles applied to data engineering.
- Experience with Power BI administration and governance
Profile:
- Degree in Computer Science, Data Engineering, or a related field.
- Minimum 7 years of experience in a similar role.
- Analytical mindset, attention to detail, autonomy, and team spirit.
- Strong communication skills and ability to explain technical concepts clearly.
Nice to Have:
- Microsoft Azure certification (e.g., DP-203).
- Databricks certification (e.g., Databricks Data Engineer Associate)
- Experience working in Agile/Scrum environments.
- Familiarity with monitoring tools (Azure Monitor, Log Analytics).
- Basic SAP knowledge (S4/Hana as a major data source)