Azure Data Engineer Job
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Employer: Sandeep Kanchi
SpiderID: 14209869
Location: Chicago, Illinois
Posted: 7/17/2026
Wage: $65-$70/hr
Priority Review Date: 10/15/2026
Job Code / NOC / SOC:
Category: General
Job Description:
Job Title: Azure Data Engineer
Location: Chicago, IL-
Apply here - https://tinyurl.com/yc8m8bc9
Job Summary:
We are seeking an experienced Azure Data Engineer with strong expertise in Azure cloud data platforms and the Banking domain. The ideal candidate will design and develop scalable data pipelines, migrate on-premises data to Azure, and build high-performance data solutions using Databricks and Azure services.
Key Responsibilities:
Develop and maintain data pipelines using Azure Databricks, Azure Data Factory, ADLS, and Synapse.
Migrate data from on-premises databases to Azure Cloud.
Process and manage data using Databricks, DBFS, Azure Blob Storage, and Azure Synapse.
Work with structured data formats such as CSV, Parquet, and JSON.
Develop data solutions using Python, SQL, RDDs, DataFrames, and Azure SQL.
Collaborate with cross-functional teams to deliver scalable and secure data solutions.
Required Skills:
8+ years of Data Engineering experience, preferably in the Banking domain
Strong expertise in Azure Databricks, Azure Data Factory, ADLS, Synapse
Hands-on experience with Python, SQL, Azure SQL, DBFS
Experience with Snowflake is preferred
Excellent analytical, problem-solving, and communication skills
Location: Chicago, IL-
Apply here - https://tinyurl.com/yc8m8bc9
Job Summary:
We are seeking an experienced Azure Data Engineer with strong expertise in Azure cloud data platforms and the Banking domain. The ideal candidate will design and develop scalable data pipelines, migrate on-premises data to Azure, and build high-performance data solutions using Databricks and Azure services.
Key Responsibilities:
Develop and maintain data pipelines using Azure Databricks, Azure Data Factory, ADLS, and Synapse.
Migrate data from on-premises databases to Azure Cloud.
Process and manage data using Databricks, DBFS, Azure Blob Storage, and Azure Synapse.
Work with structured data formats such as CSV, Parquet, and JSON.
Develop data solutions using Python, SQL, RDDs, DataFrames, and Azure SQL.
Collaborate with cross-functional teams to deliver scalable and secure data solutions.
Required Skills:
8+ years of Data Engineering experience, preferably in the Banking domain
Strong expertise in Azure Databricks, Azure Data Factory, ADLS, Synapse
Hands-on experience with Python, SQL, Azure SQL, DBFS
Experience with Snowflake is preferred
Excellent analytical, problem-solving, and communication skills
Contact Information:
| Contact Name: Sandeep Kanchi | Type: Recruiter |
| Company: | |
| Web Site: https://tinyurl.com/yc8m8bc9 | |