JobRialto
Lead Azure Data Engineer
JobRialto, Newark, California, United States, 94560
Job Description:
We are looking for a Lead Azure Data Engineer with 12+ years of experience who has transitioned from a BI/SQL/ETL Developer role into Data Engineering. The ideal candidate will have strong expertise in Azure Cloud technologies, focusing on data modeling, integration, and performance optimization.
Responsibilities:
•Design and model enterprise data architecture and solutions.
•Work with Azure SQL Data Warehouse (Synapse) for data processing and storage.
•Write and optimize T-SQL queries, stored procedures, and performance-tuning activities.
•Implement data migration and processing solutions using ADF or any other enterprise ETL tools.
•Leverage ADLS for cloud storage and data management.
•Understand technical specifications and work independently with minimal supervision.
Must-Have Skills:
•Extensive experience with Azure native services (ADLS, ADF, Synapse, Azure SQL DB).
•Strong background in SQL, schema design, and dimensional data modeling.
•Solid understanding of data warehouse best practices and development standards.
•Proven experience in data integration with Databricks.
•Ability to work in a fast-paced and dynamic environment, with strong self-learning skills.
Nice-to-Have Skills:
•Basic knowledge of ML Studio, AI/ML, and MLOps.
•Experience with Event Hub, IOT Hub, Azure Stream Analytics, Cosmos DB, and Azure Analysis Services.
•Familiarity with SAP HANA.
•Intermediate knowledge of Power BI.
•Good understanding of DevOps, CI/CD deployments, and cloud migration methodologies.
Education:
Bachelors Degree
We are looking for a Lead Azure Data Engineer with 12+ years of experience who has transitioned from a BI/SQL/ETL Developer role into Data Engineering. The ideal candidate will have strong expertise in Azure Cloud technologies, focusing on data modeling, integration, and performance optimization.
Responsibilities:
•Design and model enterprise data architecture and solutions.
•Work with Azure SQL Data Warehouse (Synapse) for data processing and storage.
•Write and optimize T-SQL queries, stored procedures, and performance-tuning activities.
•Implement data migration and processing solutions using ADF or any other enterprise ETL tools.
•Leverage ADLS for cloud storage and data management.
•Understand technical specifications and work independently with minimal supervision.
Must-Have Skills:
•Extensive experience with Azure native services (ADLS, ADF, Synapse, Azure SQL DB).
•Strong background in SQL, schema design, and dimensional data modeling.
•Solid understanding of data warehouse best practices and development standards.
•Proven experience in data integration with Databricks.
•Ability to work in a fast-paced and dynamic environment, with strong self-learning skills.
Nice-to-Have Skills:
•Basic knowledge of ML Studio, AI/ML, and MLOps.
•Experience with Event Hub, IOT Hub, Azure Stream Analytics, Cosmos DB, and Azure Analysis Services.
•Familiarity with SAP HANA.
•Intermediate knowledge of Power BI.
•Good understanding of DevOps, CI/CD deployments, and cloud migration methodologies.
Education:
Bachelors Degree