Ref: #59113
Location: Sweden
Employment type: Contract

GCP Data Engineer

  • Practice Data

  • Technologies Business Intelligence Jobs and Data Recruitment

  • Location stockholm, Sweden

  • Type Contract

  • Description:
Location: Preferably Malmö (onsite 1-2 times on weekly basis) if Other EU Zone(s) (fulltime remote is ok)
We need a senior Data Engineer with 7+ years of experience in:
Machine Learning
Database Management/ Data Visualization
Cloud Platforms- primarily GCP (BigQuery) +Azure
Strong SQL, BigQuery, Python
  • Requirements:
What will you be doing:
Secure Data Inflow: Ensure that incoming data is safe from unauthorized access or tampering.
Validate Data: Check the authenticity, quality, and completeness of incoming data, fixing any errors or gaps.
Establish Validation Gates: Set up checkpoints to verify data integrity and consistency.
Monitor and Alert: Keep an eye on data streams and receive automatic alerts for any anomalies or issues.
Create Visual Interface: Develop and maintain a user-friendly interface for easy data interpretation.
Ensure Data Accessibility: Make sure that stakeholders can access the data securely and reliably.
Support Onboarding: Assist new countries in adopting consistent naming conventions and validation rules for smooth integration.
Desired knowledge, experience, competence, skills etc   
Database Management: Strong understanding of SQL for relational databases and familiarity with NoSQL databases like MongoDB.
Big Data Tools: Experience with BigQuery and other tools for processing and analyzing large datasets.
Cloud Platforms: Knowledge of GCP (Google Cloud Platform) or/and Azure for data storage, processing, and analysis.
AI Awareness: Understanding of AI concepts and its applications in data analysis.
Machine Learning: Familiarity with machine learning algorithms and techniques for predictive analytics.
Programming Proficiency: Programming skills, particularly in Python, for data manipulation and analysis.
Data Visualization: Ability to create visually appealing and informative reports using tools like Power BI.
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