Cloud data engineer

Job summary

Develop solutions using Python and SQL Server to work with large datasets. Develop and deploy ETL pipelines with Databricks and PySpark, and work with cloud data warehouses and data warehousing models.

Job details

5+ years Python coding experience. 5+ years - SQL Server based development of large datasets 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark. Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.

What you’ll do

Develop solutions using Python and SQL Server to work with large datasets. Develop and deploy ETL pipelines with Databricks and PySpark, and work with cloud data warehouses and data warehousing models.

Requirements

Requires at least five years of Python coding experience and at least five years of SQL Server development experience with large datasets. Candidates should also have experience developing and deploying Databricks PySpark ETL pipelines, using a cloud data warehouse, and working with OLTP, OLAP, dimensions, facts, and data modeling.

Listed skills

• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL Server
• ETL Pipelines
• Databricks
• PySpark
• Cloud Data Warehousing
• Data Warehousing
• OLTP
• OLAP
• Dimensional Modeling
• Fact Tables
• Data Modeling
• Azure Synapse
• BigQuery
• Amazon Redshift
• Snowflake

Job areas

• Data & Analytics
• Technology
• Software

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