Data Engineer - Azure -
Tasks
- Build data pipelines ingest data from APIs
- Build data pipelines ingest data from databases
- Build data pipelines ingest data from streaming platforms
- Collaborate with business stakeholders on technical solutions
- Collaborate with data scientists and analysts on data requirements
- Communicate technical concepts to non-technical stakeholders
- Deliver solutions independently
- Design and implement data models for storage and analysis
- Design and optimize data lake architecture
- Design and optimize data warehouse architecture
- Design and optimize distributed file systems
- Implement caching strategies for faster data retrieval
- Implement data indexing
- Integrate and transform data for target data model
- Partition and compress data storage
- Process transform and clean large data volumes on Azure
- Train and mentor junior data engineers
- Tune queries and resolve performance bottlenecks
- Work in Agile and Scrum
Perks/Benefits
- Buddy system
- Certificate training
- Charity support
- Christmas bonus
- Flexible working hours
- Fully remote
- Grocery coupons
- Medical insurance
- Profit sharing
- Remote onboarding program
- Remote work bonus
- Savings fund
- Udemy access
- Upskilling support
- Vacation premium
- Well-being activities
Skills/Tech-stack
APIs | Agile | Azure | Azure DevOps | Caching | Compression | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Processing | Data Transformation | Data Warehouses | Data integration | Databases | Distributed file systems | File systems | Indexing | Partitioning | Query Tuning | Scrum | Streaming Platforms
Education
N/A
Roles
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