Mid Level - Azure Data Engineer

Azure Data Engineer Contract to Hire

Experience: 3 5 years



Location: As per client requirement



Interview: 2 rounds Virtual + Onsite

Key Responsibilities

• Design, develop, and support scalable data engineering and analytics solutions .
• Build batch and streaming data pipelines using Microsoft Azure .
• Work with Azure Data Factory, Databricks, ADLS, Blob Storage, Event Hub, Azure Functions, and Power BI .
• Perform data ingestion, transformation, modeling, testing, deployment, and production support.
• Develop CI/CD pipelines and follow DevOps, security, privacy, and coding best practices.
• Collaborate with senior developers, product owners, and source application teams.

Required Skills

• 3+ years of software/data engineering experience.
• Strong SQL and data analytics experience.
• Strong Python scripting/development experience - critical requirement .
• Strong experience with Microsoft Azure and data lake technologies.
• Experience with Azure Data Factory, Azure Databricks, ADLS, Azure DevOps , and related Azure services.
• Knowledge of Spark, Unix, and SQL .
• Experience with data platforms such as Teradata, Snowflake, SQL Server, Oracle, MongoDB, or Cassandra .
• Understanding of software design principles, big data, and data engineering best practices.

Nice to Have

• Spark / Databricks
• Teradata Vantage development/administration
• Power BI, Tableau, Cognos, Alteryx
• Terraform, GitHub, Jenkins
• Airline industry experience
• Azure/Spark certifications

Ideal Candidate

Looking for a strong Azure Data Engineer with hands-on Python + SQL + Azure data engineering experience. Candidates must demonstrate real-world Python development, not just list Python on their resume.

A Submission format please complete in full:

First Middle Last Name

Pay Rate:

Skill Highlights- please indicate the # of years on each of the following skills:

• Azure
• Data Engineering
• Python
• Spark
• Databricks

Visa Status:

Location:

Availability to interview:

Availability to start:

Vacations:

LinkedIn Profile:

Phone Number:

Email Address:

Last 4 of SSN:

MM/DD of birth:

If on a visa, attach copy.

Proof of ID - please attach

Previous Client Experience (need manager name, group/LOB, if they were FTE or contractor, and dates)