Senior Data Engineer/ Analytics Engineer
2 weeks ago
Title- Senior Data Engineer
Location- Nashville, TN (Onsite)
Terms- Full-time
SCOPE OF WORK
Design, build, and maintain scalable data pipelines using Azure Data Factory (ADF) and other Azure services
Administer, monitor, and troubleshoot SQL Server databases, ensuring high performance and availability
Develop and optimize SQL queries and stored procedures to support data transformation and retrieval
Implement and maintain data storage solutions in Azure, including Azure SQL Database, Azure Blob Storage, and Data Lakes
Collaborate with business analysts, clients and stakeholders to deliver insightful reports and dashboards using Power BI
Develop scripts to automate data processing tasks using languages such as Python, PowerShell, or similar
Ensure data security and compliance with industry standards and organizational policies
Stay updated with the latest technologies and trends in Azure cloud services and data engineering
Demonstrated experience in healthcare data analytics, including familiarity with healthcare data models such as Encounter based models, or Claims focused models
IDEAL CANDIDATE PROFILE
Bachelor’s degree in computer science, Engineering, Information Technology, or related field
At least 3-5 years of experience in data engineering with a strong focus on Microsoft Azure
Proven expertise in SQL Server database administration and development
Experience in building and optimizing data pipelines, architectures, and data sets on Azure
Proficiency in Power BI for creating reports and dashboards
Strong scripting skills in Python, PowerShell, or other relevant languages
Familiarity with Azure data services (e.g., Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Azure DataBricks)
Knowledge of data modeling, ETL processes, and data warehousing concepts
Excellent problem-solving skills and the ability to work independently or as part of a team
Strong communication and interpersonal skills to collaborate effectively with various teams and understand business requirements
Certifications in Azure Data Engineering or related fields
Experience with machine learning and data science projects (huge plus)
Knowledge of additional BI tools and data integration platforms
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