Join Mapiq as a Data Engineer
Are you passionate about data engineering and eager to work with cutting-edge technology? Mapiq is looking for a Data Engineer to join our dynamic Data Team. In this role, you will have the opportunity to make a significant impact on our product by building and maintaining scalable data pipelines that leverage large datasets from sensors and business applications.
Key Responsibilities
- Design and Develop Data Pipelines: Create and maintain scalable data pipelines and systems to process large datasets efficiently.
- Optimize ETL Processes: Work with large datasets to optimize data extraction, transformation, and loading (ETL) processes.
- Implement Spark Solutions: Develop and optimize Spark-based solutions for data processing and analysis.
- Collaborate Across Teams: Work with cross-functional teams to define, implement, and monitor data quality metrics.
- Ensure Data Security: Maintain data security, compliance, and governance across all pipelines.
- Troubleshoot Issues: Resolve issues related to data systems, processes, and infrastructure.
Who We Are Looking For
We are seeking a candidate with at least 2 years of experience in a similar role. The ideal candidate will have:
- A Bachelor's degree in Computer Science or a related field.
- Proficiency in Python for data processing and automation.
- Proficiency in SQL for database management and query optimization.
- A solid understanding of Spark concepts, including Spark DataFrame, Spark SQL, and Spark Streaming.
Nice-to-Have Qualifications
- Experience with Databricks and Databricks certifications.
- Knowledge of DBT (Data Build Tool) for data transformation.
- Experience with Infrastructure as Code (IaC) tools like Terraform or Bicep.
- Familiarity with Azure DevOps Pipeline for CI/CD processes.
- Experience with the Azure Ecosystem, including Azure SQL Server, Azure CosmosDB, Azure EventHub, Azure ServiceBus, and Azure FunctionApp.
What We Offer
- Hybrid Working Environment: Enjoy the flexibility of working both on-site and off-site.
- Global Workstation: Work from anywhere in the world for one month each year.
- Professional Development: Access to Databricks Academy for continuous learning and certification opportunities.
- Competitive Compensation: We offer a fair salary based on your experience and skills.
- Comprehensive Benefits: Pension plan, 25 vacation days, travel reimbursement, and more.
- Supportive Community: Join a team of board game enthusiasts, sports fanatics, coffee lovers, and more.
At Mapiq, we value diversity and strive to create an inclusive environment where everyone can bring their unique ideas and backgrounds to the table. If you are ready to take on this exciting challenge, we would love to hear from you!
Benefits Extracted with AI
- Pension plan
- Hybrid working environment
- One month workstation from anywhere
- Free mental health support
- Competitive pay
- €300 home office reimbursement
- Databricks Academy access
- 25 vacation days
- Travel reimbursement
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