Azure Data Engineer
BlueRose Technologies
Newark, CA, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Computer Programming
Information Engineering
Extract Transform Load (ETL)
Data Warehousing
Apache Hive
SQL Azure
SAP ERP
Power BI
SAP HANA
SQL Databases
+15 more
Talend
Google Cloud
Azure Data Factory
Snowflake
Apache Spark
Data Lakes
Pyspark
Information Technology
Google Bigquery
Data Management
Cloud Migration
Azure Synapse Analytics
Stream Analytics
Amazon Redshift
Databricks
Requirements
12-15 Years IT Experience and 10 plus in Data Engineering space.
Must have Skills :
- Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc. Azure experience is preferred over other cloud platforms.
- 10 + years of proven experience with SQL, schema design and dimensional data modelling. Hands on experience in SQL is a MUST.
- Solid knowledge of data warehouse best practices, development standards and methodologies
- Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc..
- Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL.
- Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment.
- Excellent communication and teamwork abilities.
Nice-to-Have Skills:
- Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.
- SAP ECC /S/4 and Hana knowledge.
- Intermediate knowledge on Power BI
- Azure DevOps and CI/CD deployments, Cloud migration methodologies and processe
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