- Design, develop, and implement end-to-end data solutions on the Azure platform, including data ingestion, storage, processing, and analytics.
- Architect data pipelines and ETL processes to extract, transform, and load large volumes of structured and unstructured data from various sources into Azure data services.
- Optimize data workflows for performance, scalability, and reliability, ensuring high availability and fault tolerance.
- Collaborate with data scientists and analysts to support their data requirements and enable advanced analytics and machine learning capabilities.
- Implement data security and privacy measures to ensure compliance with regulatory requirements and industry best practices.
- Provide technical leadership and mentorship to junior team members, sharing best practices and guiding them in implementing effective data solutions.
- Evaluate new Azure technologies and tools, assessing their suitability for solving specific business challenges and driving innovation.
- Work closely with cross-functional teams, including software engineers, data scientists, business analysts, and stakeholders, to understand requirements and deliver solutions that meet business objectives.
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.
- Minimum of 8 years of experience in data engineering, with at least 5 years of hands-on experience with Azure data services.
- Proficiency in Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Azure Cosmos DB.
- Strong programming skills in languages such as Python, SQL, and/or Scala, with experience in developing data pipelines and ETL processes.
- In-depth understanding of data modeling, database design, and data warehousing concepts.
- Experience with DevOps practices and tools for automating deployment, monitoring, and management of data solutions.
- Excellent analytical and problem-solving abilities, with a focus on delivering high-quality solutions that meet business requirements.
- Effective communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert are highly desirable.
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Data Engineer - New Jersey, United States - ESB Technologies
Description
Only apply if you are willing to W2
Job Title: Senior Azure Data Engineer
Location: AZ, TX, NJ, NY, FL, (Any of these mentioned locations)
Job Description:
Position Overview: We are seeking a highly skilled and experienced Azure Data Engineer to join our team as a senior member responsible for designing, implementing, and maintaining data solutions on the Azure platform. The ideal candidate will have a strong background in data engineering, with extensive experience in Azure services and a proven track record of delivering complex data projects. This role requires deep technical expertise, excellent problem-solving skills, and the ability to work collaboratively in a dynamic environment.
Responsibilities:
Requirements: