Azure Data Engineer

About the Company

We are looking for a highly skilled Databricks & Azure Senior Data Engineer with at least 6 to 10 years of experience to join our vibrant Data & Analytics team.

About the Role

The ideal candidate should have strong background in Azure data services, including Databricks, Synapse Analytics, Microsoft Fabric, PySpark and SQL. He/She will be responsible for designing, building, and maintaining scalable data solutions that meet business requirements and align with industry best practices.

Responsibilities

• 6+ years of experience as a Databricks & Data Engineer, building Azure-based data solutions using Data Factory, Synapse, Databricks.
• Expertise in Python, SQL (SparkSQL, TSQL, PLSQL), Dimensional Data Modeling, Data Warehousing, and ETL/ELT processes.
• Develop and optimize large-scale data pipelines using Databricks, Synapse, and Apache Spark.
• Integrate data into Azure Data Lake Storage via Data Factory and Data Flows.
• Architect Delta Lake & Lakehouse solutions for scalable analytics.
• Optimize performance across Databricks, and Synapse environments.

Qualifications

• Any ERP experience

Required Skills

• Leverage Microsoft Fabric for seamless data integration & transformation.
• Operationalize ML models in Databricks and automate CI/CD pipelines with Azure DevOps.
• Ensure data governance & security with Azure Purview & Databricks Unity Catalog.

Preferred Skills

• Good to have: Any ERP experience