Azure Databricks Engineer
1 month ago
No. of openings - 10+
Primary Skill : SQL, Azure Databricks
Secondary Skills : PySpark, Azure Data Factory
Responsibilities :
As an Azure Data Engineer, your day-to-day work activities will be as follows :
- Design & develop the ETL
- Good experience in writing SQL, Python and PySpark programming
- Create the Pipelines (simple and complex) using ADF.
- Work with other Azure stack modules like Azure Data Lakes, SQL DW
- Must be extremely well versed with handling large volume of data.
- Understand the business requirements for Data flow process needs.
- Understand requirements, functional and technical specification documents.
- Development of mapping document and transformation business rules as per scope and requirements/Source to target.
- Responsible for continuous formal and informal communication on project status
- Good understanding of JIRA stories process for SQL development activities
Requirements :
Educational qualifications : Bachelor's/Master's
Candidates are required to have these mandatory skills :
- Overall, 6+ years of developer skills with SQL, Python with Spark (PySpark)
- Experience in Azure Data Factory, Data Sets, Data Frame, Azure Blob & Storage Explorer
- Implement data ingestion pipelines from multiple data sources using ADF, ADB (Azure data bricks)
- Experience in creating Data Factory Pipelines, custom Azure development, deployment, troubleshoot data load / extraction using ADF.
- Extensive experience on SQL, python, PySpark in Azure Databricks
- Able to write Python code in PySpark frame by using Dataframes
- Have good understanding on Agile/Scrum methodologies.
Location : Pune/Hyderabad
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