Demo

Senior Data Engineer

Fortune 500
Deerfield, FL Full Time
POSTED ON 4/14/2025
AVAILABLE BEFORE 5/14/2025

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.
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