Sr. Data Engineer (Azure Data Services/Databricks)
Austin, Minnesota, United States of America
Contract
2 weeks ago
Key skills
PythonSQLAIMLETLELTData LakeAnalyticsBIPower BISnowflakeDatabricksAzureVaultAzure FunctionsAzure SQLBlob StorageGitHubAgileScrumCI/CD
About this role
City : Austin
State : Texas
Neos is Seeking a Sr. Data Engineer (Azure Data Services/Databricks) for a long-term contract role with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA (within 50 miles) WILL BE CONSIDERED***
This role is HYBRID - 3 Days Onsite (Austin, TX 78723)
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
Job Description
We are seeking a hands-on Senior Data Engineer with extensive experience (Hands on) in Azure data services and Databricks.
Key Skill Set: Azure data services, Databricks, Microsoft Fabric, Python, SQL, PySpark, GitHub
Department/Project: Enterprise Data & Analytics/EDM Team
Responsibilities
Requirements
Must Have
Good to Have
#DICE
#LI-IC
State : Texas
Neos is Seeking a Sr. Data Engineer (Azure Data Services/Databricks) for a long-term contract role with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA (within 50 miles) WILL BE CONSIDERED***
This role is HYBRID - 3 Days Onsite (Austin, TX 78723)
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
Job Description
We are seeking a hands-on Senior Data Engineer with extensive experience (Hands on) in Azure data services and Databricks.
Key Skill Set: Azure data services, Databricks, Microsoft Fabric, Python, SQL, PySpark, GitHub
Department/Project: Enterprise Data & Analytics/EDM Team
Responsibilities
- Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML).
- Develop data pipelines and transformations (ETL/ELT).
- Collaborate with stakeholders to understand data requirements and deliver solutions.
- Ensure data solutions are scalable, reliable, and secure.
- Implement CI/CD and DevOps practices.
- Maintain and publish code to GitHub.
- Follow PMO/Scrum master instructions using Agile/Scrum methodologies.
Requirements
Must Have
- 10+ years of IT experience, including a minimum of 5 years as a Data Engineer
- 5+ years of experience with the Azure cloud platform
- Proven experience with Azure data services (e.g., Azure Key Vault, Azure Blob Storage, ADLS Gen2, Databricks Pipeline, Log Analytics, Logic App, Purview, Azure Functions)
- Experience with Databricks, Microsoft Fabric, Power Automate, Power BI and SQL
- Proficiency in Python, SQL, API, and PySpark
- Expertise in optimizing ETL processes, data warehouse, and data lake management
- Experience with CI/CD and DevOps practices
- Experience with structured, unstructured, and semi-structured data
- Experience with maintaining and publishing code to GitHub
- Ability to work in a cross-functional team and coordinate with Infra/Ops and Information Security departments
- Experience with requirement gathering and Scrum methodologies
Good to Have
- Experience with on premises to Azure cloud migration
- Knowledge of Snowflake, Microsoft Fabric, Microsoft Purview, AI/ML, streaming data services, and marketplace data services
- Relevant certifications
- Experience with multiple cloud implementations
#DICE
#LI-IC