Data Engineer Expert for Global Beverage Industry
1 tydzień temu
We are seeking a highly skilled Data Engineer to join our team at DCV Technologies, a global leader in the beverage industry.
Estimated Salary: £80,000 - £100,000 per annum
About the RoleThis is a fantastic opportunity to work on complex data processing applications using Microsoft Azure Synapse Spark Runtime and Scala programming language.
You will be responsible for designing and optimizing data pipelines processing through various zones in Medallion architecture using Azure Synapse pipelines.
Main Responsibilities- Monitor and provide ongoing support/maintenance of the data pipelines to ingest and transform data using Scala and SQL on Spark.
- Investigate and remediate data pipeline errors and performance issues. Identify and resolve data discrepancies, ambiguities, and inconsistencies.
- Provide technical support for the data analysis source and version control code/configuration artifacts using GitHub.
- Deploy code artifacts using GitHub Workflow/actions.
- Technical Oversight: Provide technical leadership and hands-on oversight in developing data processing applications on Spark using Scala programming, focusing on Microsoft Azure Synapse Spark Runtime.
- Data Pipeline Optimization: Design and optimize data pipelines processing through various zones in Medallion architecture using Azure Synapse pipelines.
- Data Ingestion and Quality: Manage data ingestion, ensure data quality checks with tools like DQ, and handle data validation and error management.
- Configuration Management: Develop and manage configuration settings using JSON files read by classes such as ApplicationConfig and TableConfig for various zones.
- Cross-Functional Collaboration: Collaborate with data scientists, analysts, and cross-functional teams to ensure seamless integration and alignment of data engineering practices with marketing strategies.
- Logging and Auditing: Oversee logging, auditing, and error handling processes to track and ensure data processing integrity. Knowledge of Azure Log Analytics and KQL queries a plus.
- Testing and Validation: Implement unit testing with tools like Scala Test and maintain data quality checks for reliable data processing outcomes.
The ideal candidate will have 7-8 years of total experience with minimum 6-7 years of experience in the data engineering space on Scala & Spark + Azure.
What We OfferB2B Contract
Remote working option from Poland
How to ApplyPlease send your CV to us for consideration. We look forward to hearing from you
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