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Azure Data Engineer

Yantran LLC

Azure Data Engineer

Location: Branchville, NJ, Charlotte, NC and Hartford CT

Years of Experience: 7-10 Years

Job Summary: We are seeking a highly skilled Data Engineer with a strong background in Azure Databricks to join our dynamic team. The ideal candidate will have 7-10 years of experience in data engineering, with a proven track record of designing, building, and maintaining scalable data pipelines and data solutions. This role requires a deep understanding of data architecture, data modeling, and ETL processes, with a specific emphasis on leveraging Azure Databricks for data processing and analytics.

Responsibilities:

  • Design, develop, and maintain robust data pipelines using Azure Databricks to support data ingestion, transformation, and storage.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high quality data solutions.
  • Implement best practices for data governance, data quality, and data security within the Azure environment.
  • Optimize existing data workflows and processes for performance and scalability.
  • Monitor and troubleshoot data pipeline performance issues, ensuring timely resolution.
  • Document data engineering processes, architecture, and workflows for knowledge sharing and compliance.
  • Stay updated with the latest trends and technologies in data engineering and Azure Databricks.

Mandatory Skills:

  • Strong expertise in Azure Databricks, including experience with Spark, Delta Lake, and data processing frameworks.
  • Proficient in programming languages such as Python, Scala, or SQL for data manipulation and analysis.
  • Experience with data modeling, ETL processes, and data warehousing concepts.
  • Solid understanding of cloud data architecture and services, particularly within the Azure ecosystem.
  • Familiarity with data visualization tools and techniques.

Preferred Skills:

  • Experience with Azure Data Factory, Azure Synapse Analytics, and other Azure data services.
  • Knowledge of machine learning concepts and frameworks.
  • Experience with CI/CD practices and tools for data engineering.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Strong analytical and problem solving skills, with the ability to work independently and in a team environment.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 7-10 years of experience in data engineering or a related field.
  • Proven experience working with Azure Databricks and related technologies.
  • Strong communication skills, with the ability to convey complex technical concepts to non technical stakeholders.
Vacancy posted 4 days ago
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