Data Engineer

• Lead technical decisions for enterprise data architecture using Databricks 

• Develop strategies for cost-effective, high-performance data architectures, covering everything from data streams to analytical storage

• Design and implement data solutions in Microsoft Azure, based on project needs

• Build and maintain ETL processes and data models for analytical pipelines, especially in Finance 

• Establish and uphold best practices for software development, like version control, testing, and CI

• Support pre-sales activities, including RFPs, proposals, and client communications

• Guide discussions on cloud data warehousing and machine learning platforms

• Provide technical support for vendor and third-party engagements

• Offer ongoing support for business and technology teams on platform strategy and quality assurance

Elvárások:

• Bachelor’s degree in Computer Science, IT, or a related field

• Minimum 2 years of Databricks and 4 years of Azure experience (certifications preferred)

• Experience as a Data Architect/Engineer with hands-on expertise in Data Lakehouse, Data Lake, and Data Warehouse design

• Strong knowledge of Databricks, Data Lakes and Spark

• Strong experience with Azure Platform Services (Identities, Network, Storage)

• Proficiency with Azure Data Services, including Azure Data Factory, Azure SQL

• Experience with streaming data technologies like Databricks Streaming, Kafka, Azure Streaming Services

• Experience with Azure DevOps especially Azure Pipelines

• Proficiency in Python, PySpark, SQL

• Familiarity with DataOps

Egyéb információ az állásról:

Our client empowers organizations worldwide to strategically acquire and optimize software investments, embrace cloud and AI technologies, and drive innovation through enhanced efficiency. They are a trusted advisor in strategic software acquisition, continual IT estate optimization, and maximizing returns on investments in cloud, data, and AI. 

We are seeking a Data Engineer to design and implement data solutions in Microsoft Azure. As a Data Engineer, you will operate within some of our most versatile and complex client environments, utilizing technologies such as ETL tools, SQL and Python.