Health Data Engineer organizing big data and implementing data engineering activities for mission - driven healthcare projects at Booz Allen. Collaborating with a multidisciplinary team in a fast - paced environment.
About the role
- Senior Azure Data Engineer at Accellor enhancing data capabilities for enterprise clients using Azure technologies. Building solutions to transform business processes through robust data engineering practices.
Responsibilities
- Develop and maintain robust data pipelines to collect, transform, and process large datasets from various sources, ensuring timely and accurate delivery of data for analytics and reporting.
- Strong experience in performance tuning databases, procedures, and functions, with a focus on optimizing data architecture, scalability, and cost savings.
- Pipeline Development: Design and implement scalable data integration pipelines using Azure Data Factory (ADF) and Azure Databricks.
- Data Modeling: Create and maintain complex data models in Azure Synapse Analytics and Azure SQL Database to support business intelligence needs
- Work with the Lead Engineer to automate business processes, automate the movement of data within the organization, and orchestrate the exchange of data with external partners.
- Collaborate with other department managers and business leaders to complete organizational goals and strategic priorities and support critical processes.
- Optimize data architecture and performance by leveraging modern technologies and by implementing performance-tuning strategies for databases, procedures, and functions.
- Automate data workflows to improve efficiency and scalability, while ensuring data integrity, hygiene, and cost efficiency.
- Work closely with business stakeholders to gather requirements, translate them into technical specifications, and deliver solutions within project timelines.
- Troubleshoot and resolve data and reporting issues, driving continuous improvement in analytic capabilities.
Requirements
- Bachelor’s degree is preferred in Computer Science, Data Engineering, with over 12+ years of professional experience.
- A proven track record in building scalable data pipelines and automating data processes through programming, scripts, APIs, and platform tools.
- Strong expertise in modern data tools and technologies, including SQL Server, Microsoft Fabric, Data Bricks, Azure Functions, ADF, Synapse, Python, C# / .NET, and APIs.
- Cloud Platform: Proven experience with the Azure Data Stack (ADF, Synapse, Databricks, ADLS).
- Languages: Strong proficiency in SQL and Python (PySpark). Knowledge of Scala or C# is a plus.
- Deep understanding of data integrity and hygiene, with a commitment to maintaining high standards of data quality.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
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