Azure Data Engineer

1 week ago


Dallas, United States Lorven Technologies Full time

Hi ,

Our client is looking for aAzure Data Engineer with a Long-term Contract project in Multiple Locations (Anywhere in USA)below is the detailed requirement.

Position: Azure Data Engineer

Location: Multiple Locations (Anywhere in USA)

Duration: Long-term Contract

Job Description:

Must-Have Qualifications:

  • 12+ Years of IT Experience: Proven track record of working in IT with a focus on data engineering, data warehousing, and ETL processes.
  • Cloud Technologies: Extensive experience with cloud-based data solutions, particularly on the Azure platform, including ADF, Synapse, and Databricks.
  • Design and Documentation: Ability to understand and interpret complex design requirements, source-to-target mapping (STTM), and create detailed technical specification documents.
  • Client-Site Flexibility: Willingness and ability to operate from client office locations as required, ensuring seamless collaboration and project delivery.
  • Mentorship: Capable of mentoring and guiding junior resources, providing technical support and knowledge transfer as needed.
Key Responsibilities:
  • Lead the design, development, and deployment of scalable data solutions on Azure.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
  • Design and implement robust ETL pipelines using ADF and Databricks, ensuring data quality and integrity.
  • Develop and optimize PySpark/Python code for data processing tasks.
  • Provide technical leadership and mentorship to junior team members, fostering a collaborative and knowledge-sharing environment.
  • Create and maintain comprehensive documentation, including design specs, STTM, and technical specifications.
  • Ensure data solutions are aligned with industry best practices and compliance requirements, particularly in banking domains, if applicable.
Primary Skills:
  • Azure: Extensive hands-on experience with Azure Cloud services, including Azure Data Factory (ADF), Synapse Analytics, and related Azure components.
  • Databricks: Proficiency in working with Databricks for data processing, transformation, and analytics.
  • ADF (Azure Data Factory): Expertise in designing and implementing ETL pipelines using ADF for large-scale data processing.
  • PySpark/Python: Advanced programming skills in PySpark and Python for data engineering tasks.
Secondary Skills:
  • Data Warehousing: In-depth knowledge of data warehousing concepts, architecture, and implementation, including experience with various data warehouse platforms.

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