Big Data Expert

3 days ago


Gothenburg, Västra Götaland, Sweden Blue Eye AB Full time

We're looking for a highly skilled Data Engineer to join our team at Blue Eye AB. As a key member of our EV Automotive client's project, you'll be responsible for designing, developing, and maintaining scalable batch and stream data pipelines to ingest data into the platform from various sources.

In this role, you'll work closely with the infrastructure team to deploy the latest data products and perform thorough verification post-deployment to minimize system disruptions, data loss, and security vulnerabilities.

As a senior data engineer, you'll have the opportunity to work with data produced and consumed in the European region, guiding and assisting stakeholders to access necessary datasets securely.

To succeed in this position, you should possess a strong background in data warehousing concepts, ETL processes, and cloud computing platforms such as AWS and Azure.

Key Responsibilities
  • Data Pipeline Management: Design, develop, and maintain scalable batch and stream data pipelines to ingest data into the platform from various sources.
  • Data Processing Workflows: Develop and implement data processing workflows for cleansing, deduplication, and transformation processes to prepare data for data services.
  • Platform Operations: Operate and maintain the data platform in conjunction with the infrastructure team.
  • Upgrade and Testing: Perform data platform upgrades, including regression testing, security testing, and functional testing.
  • Data Security: Implement checks and measures to ensure data security, accuracy, completeness, and consistency.
  • Pipeline Monitoring: Set up tools to monitor pipeline performance, data quality, and system health.
  • Issue Resolution: Diagnose and resolve issues with data pipelines, storage systems, or integrations.
  • Stakeholder Collaboration: Collaborate with stakeholders to define data models and ensure data meets their needs.
  • Technical Guidance: Provide technical guidance and data access support to data consumers and address technical challenges.
  • Documentation: Document data pipelines, architectures, and workflows to ensure clarity and ease of maintenance.
  • Data Modeling: Design and maintain data models for reporting and analytics in BI tools.
  • Dashboards: Develop simple dashboards with Power BI.


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