Job Description

Responsibilities:

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

    • What is expected out of you?

  • + 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.

    • Good to have:

  • Any ERP experience
  • 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

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