Sr. Data Engineer (Azure Data Services/Databricks)

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