JobRialto
Azure Data Engineer
JobRialto, Union, Kentucky, United States, 41091
DescriptionRequirements:
Experience in Data modeling and advanced SQL techniques
Experience working on cloud migration methodologies and processes including tools like Databricks, Azure Data Factory, Azure Functions, and other Azure data services
Expert in SQL, Python, Spark, Databricks
Experience working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation
Experience with DevOps process and understanding of Terraform scripting
Understanding the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design
Experience designing and implementing ingestion processes for unstructured and structured data sets
Experience designing and developing data cleansing routines utilizing standard data operations
Knowledge of data, master data, metadata related standards, and processes
Experience working with multi-Terabyte data sets, troubleshooting issues, performance tuning of Spark and SQL queries
Experience using Azure DevOps/Github actions CI/CD pipelines to deploy code
Microsoft Azure certifications are a plus
Minimum of 7 years of hands-on experience working on design, configuration, implementation, and data migration for medium to large sized enterprise data platforms
Education:
Bachelors Degree
Experience in Data modeling and advanced SQL techniques
Experience working on cloud migration methodologies and processes including tools like Databricks, Azure Data Factory, Azure Functions, and other Azure data services
Expert in SQL, Python, Spark, Databricks
Experience working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation
Experience with DevOps process and understanding of Terraform scripting
Understanding the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design
Experience designing and implementing ingestion processes for unstructured and structured data sets
Experience designing and developing data cleansing routines utilizing standard data operations
Knowledge of data, master data, metadata related standards, and processes
Experience working with multi-Terabyte data sets, troubleshooting issues, performance tuning of Spark and SQL queries
Experience using Azure DevOps/Github actions CI/CD pipelines to deploy code
Microsoft Azure certifications are a plus
Minimum of 7 years of hands-on experience working on design, configuration, implementation, and data migration for medium to large sized enterprise data platforms
Education:
Bachelors Degree