Module Lead – Azure Data Engineer

Job Description:

  • Experience – 4 – 8 Years
  • Expertise in design and development of Data pipelines and ETL/ELT using ADF, Databricks to move data from relational/structured/unstructured data from source to data lake to data warehouse, on Azure.
  • Creating Pipelines and integrations of multiple data sources using Azure data factory and other integration technologies
  • Good to have batch and streaming (Kafka, Spark Streaming, Stream Analytics)
  • Good to have big data processing and transformation using Databricks (Scala/Python)
  • Good to have Expertise in optimizing cost and performance of data pipelines

Primary Skills:

  • Expertise with minimum 4+ projects (7+ Yrs exp.)
  • Databricks, Python
  • Azure SQL DB/DW
  • Experience in implementing effective database solutions and data models to store and retrieve data
  • Designing DB schema, data models on RDBMS and DW
  • Programming and optimizing DB objects Views, Stored Procs, Functions
  • Azure Data Lake or Blob storage
  • Experience working with high volume data, large objects.

Key Skills: Azure SQL, Databricks, Python, Data Lake or Blob storage

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