Azure Data Engineer
13 hours ago
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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