Negotiable
Outside
Remote
USA
Summary: The role of Senior/Lead Azure Data Engineer is focused on leveraging extensive experience in Azure Cloud services to design and implement data solutions. The ideal candidate will have a background in BI/SQL/ETL development and a minimum of 12 years of experience, with a strong emphasis on Azure technologies. The position requires independence and the ability to work in a fast-paced environment, with no involvement in Big Data projects. This is a W2 contract position, fully remote, for a duration of 12 months.
Key Responsibilities:
- Enterprise Data modelling / Design
- Azure SQL Data Warehouse (Synapse)
- PySpark
- SQL
- ADF / Any Enterprise ETL Tool
- ADLS / any cloud storage
- Understand technical specifications and work independently with minimal supervision
Key Skills:
- Extensive experience with Azure native services, data migration, and data processing
- Proven experience with SQL, schema design, and dimensional data modelling
- Solid knowledge of data warehouse best practices and development standards
- Strong experience with Azure Cloud data integration with Databricks
- Independent self-learner with a proactive approach
- Basic understanding of ML Studio, AI/ML, MLOps
- Knowledge of Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo Db
- Intermediate knowledge of Power BI
- Knowledge in DevOps and CI/CD deployments, Cloud migration methodologies
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Title: Senior/Lead Azure Data Engineer
Location: 100% Remote
Duration: 12 Months Contract
Job Type: Only W2 Contract (No C2C or 1099)
The consultant has to be open to work on W2
Looking for a Lead level person Min 12+ Years
Someone who has been a BI/SQL/ETL Developer in the initial stages of their career and slowly transitioned into the Data Engineering
The consultant should be mainly focused on Azure Cloud
There should not be anything related to Bigdata in the resume.
Description
- Enterprise Data modelling / Design
- Azure SQL Data Warehouse (Synapse)
- PySpark
- SQL
- ADF / Any Enterprise ETL Tool
- ADLS / any cloud storage
- Should be able to understand the technical specifications and able to work independently with minimal or no supervision
Must have Skills :
Extensive experience providing practical direction within azure native services , implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Synapse/DW /Azure SQL DB, Fabric.
Proven experience with SQL, namely schema design and dimensional data modelling
Solid knowledge of data warehouse best practices, development standards and methodologies
Strong experience with Azure Cloud on data integration with Databricks
Be an independent self-learner with the "let's get this done" approach and ability to work in Fast paced and Dynamic environment
Nice-to-Have Skills:
Basic understanding on ML Studio, AI/ML, MLOps etc.
Good to have Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo Db knowledge.
Good to have SAP Hana knowledge
Intermediate knowledge on Power BI
Good to have knowledge in DevOps and CI/CD deployments, Cloud migration methodologies and processes.