Data Engineer-ADF

One of our direct client is in need of Data Engineer-ADF consultant with following skills

Role: ADF/PYSPARK Engineer Location: Charlotte, NC

Duration: 12+ Months

Job Summary:

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have expertise in Azure Data Factory (ADF), Databricks, PySpark, Python, and Azure services, with a strong understanding of Medallion Architecture. This role involves designing, implementing, and optimizing data pipelines and ETL processes to support our data analytics and business intelligence efforts.

Key Responsibilities:

• Design and Implement Data Pipelines: Develop and manage end-to-end data pipelines using Azure Data Factory (ADF) and Databricks, ensuring data is processed efficiently and accurately.
• ETL Process Management: Create and optimize ETL processes using PySpark and Python to handle large volumes of data, ensuring high performance and scalability.
• Data Integration and Transformation: Utilize Databricks to integrate and transform data from various sources, applying best practices in data engineering to enhance data quality and usability.
• Medallion Architecture Implementation: Implement and maintain Medallion Architecture for data lakes, ensuring structured data flow from Bronze to Silver to Gold layers.
• Collaborate with Teams: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide solutions that support analytical and reporting needs.
• Performance Tuning: Monitor and optimize data processing jobs and pipelines for performance and cost-efficiency in an Azure environment.
• Documentation and Best Practices: Document data engineering processes, pipeline configurations, and data flows. Adhere to best practices and contribute to the development of data engineering standards and guidelines.

Required Qualifications:

• Education: Bachelor s degree in computer science, Engineering, Data Science, or a related field. Advanced degrees or certifications are a plus.
• Experience: Minimum of 4-8 years of experience in data engineering with hands-on experience in Azure Data Factory (ADF), Databricks, PySpark, and Python.
• Technical Skills:
• Proficiency in Azure Data Factory (ADF) for orchestrating data workflows.
• Experience with Databricks for data processing and analytics.
• Strong programming skills in PySpark and Python.
• Knowledge of Medallion Architecture and its implementation in data lakes.
• Familiarity with Azure services including Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics.
• Soft Skills:
• Excellent problem-solving abilities and analytical skills.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.

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