Sr Data Engineer (Azure/ADF/Synapse/Fabric)

Location: (Hybrid/Onsite) - Deerfield Beach, FL

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL processes to support data transformation and analysis.
• Implement data engineering best practices, standards, and processes to ensure data quality, security, and reliability.
• Optimize data storage and retrieval for performance and cost efficiency in a Azure cloud environment.
• Lead and mentor junior data engineers in technical skills, best practices, and professional development to build a high-performing team.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights from complex data sets.
• Provide strategic guidance and thought leadership on data architecture, technology stack selection, and data governance to drive data-driven decision-making.
• Communicate effectively with cross-functional teams, executives, and external partners to translate technical concepts into business value and drive strategic initiatives.
• Foster a culture of continuous learning, innovation, and collaboration within the data engineering team and across the organization to drive organizational growth and success.

Requirements:

• Extensive experience in Data Engineering, including data pipeline design, development, and maintenance.
• Proficiency in Azure Data Factory (ADF) and Azure Synapse Analytics for data integration and analytics tasks.
• Experience with Azure Data Lake Storage, Azure Data Lake Analytics, and Azure Databricks.
• Nice to have experience with Azure Data Fabric and .NET technologies for data engineering tasks.
• Strong skills in Design & Solutioning, with the ability to architect scalable and efficient data solutions.
• Participation in Agile Sprints, collaborating with cross-functional teams to deliver data engineering projects.
• Expertise in data ingestion techniques, data cleansing, and data normalization processes.
• Collaboration with QA teams to debug data-related issues and ensure data quality.
• Effective communication skills for interacting with business customers to understand and address their data requirements.
• Proven track record of working on end-to-end data engineering projects, from data collection to analysis and visualization.