Azure Data Engineer

13 hours ago


Palo Alto CA United States Beacon Hill Staffing Group Full time
This position is no longer open for applications

Salary: USD170000 - USD172000 per year

One of our clients in Palo Alto is looking for Azure Data Engineer with the following skills and experience:

NOTE: This is a DIRECT HIRE position. Candidates will be working 3 days onsite in Palo Alto, CA

Must-Haves:

  • Expertise in Azure Cloud platform services.
  • Proficient in SQL with a focus on Azure SQL.
  • Heavy experience with RESTful API development.
  • Familiarity with Azure Data Factory (ADF).
  • Experience working with Prophecy and Purview for data pipeline design and data governance.

Responsibilities:

  • Design and develop end-to-end data pipelines across various data sources and systems, ensuring data quality and integrity.
  • Develop data models, structures, and ETL jobs for efficient data acquisition and transformation.
  • Work closely with cloud service providers to align solutions with platform offerings.
  • Manage and maintain cloud-based data and analytics platforms, including performing quick proof of concepts for data solutions.
  • Implement Unified Data governance and Data Quality Management solutions for enterprise data governance.
  • Interact with business stakeholders to understand requirements and translate them into technology solutions.

Qualifications:

  • Bachelor’s degree in computer science, computer engineering, or related field with 10+ years of experience.
  • Strong expertise in Azure SQL, including complex SQL queries and performance tuning.
  • Experience with Azure API Management Service and RESTful API development.
  • Proficiency in real-time data processing using Azure Event Hubs, Service Bus, and Stream Analytics.
  • Knowledge of data transformation languages like .Net/C#, Python, Java, R, or Scala, preferably with Databricks/Spark.
  • Experience with NoSQL Databases and Azure CosmosDB.
  • Familiarity with Azure Purview for data cataloging and metadata management.
  • Experience with Azure Data Lake Storage Gen2 and Azure BLOB storage.
  • Understanding of different data formats such as Parquet, Avro, CSV, ORC, etc.
  • Experience in creating, scheduling, and monitoring Azure Data Factory (ADF) pipelines.
  • Previous experience in a fast-paced, agile environment.
  • Ability to work with on-shore/off-shore teams.
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