
[Apply in 3 Minutes] Azure Data Engineer
1 day ago
Job Description
- 3 - 6 years experience in one of the deep technical specializations below:
- Analytics:SQL DW, Azure Data Factory & Azure Databricks.
- Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise in batch and Realtime data integration.
- Working experience on PostgreSQL is mandate.
- Design and Develop Data Processing
- Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools.
- Experience in programming using Pyspark / Python
- Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL
- Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
- Hands-on experience on the Application migration from on premises to Azure cloud
Roles & Responsibilities
- Sound knowledge & hands-on experience in design and implementation of Azure Data Factory pipelines.
- Hands-on experience with GitHub, Azure DevOps, and Azure pipelines for CI/CD performance tuning ADF pipelines, Debugging issues with transformation, connectivity.
- Sound knowledge & hands-on experience in Azure Data factory, Azure Logic Apps flow, Azure Data Lake, Azure Synapse, Azure Databricks, PySpark.
- Knowledge on Azure DevOps CI/CD
- Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
- Build ADF pipelines and orchestrate end to end.
- Ability to multi-task under pressure and work independently with minimal supervision.
- Strong verbal and written communication skills.
- Must be a team player and enjoy working in a cooperative and collaborative team environment.
- Adaptable to new technologies and standards.
- Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment.
- Must be well versed with agile way of delivery
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