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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