Sr. Data Engineer
Mobilyze
- Bratislava, Bratislavský kraj
- Trvalý pracovný pomer
- Plný úväzok
- Extremely dynamic environment (we plan to grow the team from 6 to ~30 in a year or so; YoY revenue growth in hundreds of percent).
- Strict no BS policy, and NO micro-management.
- Virtually unlimited potential for creativity and personal growth.
- Work with a stellar team with unparalleled experience and knowledge in the field.
- Complete autonomy, you are the expertise in your field and you need to tell us what to do. We are depending on you.
- Fully remote work environment with a flexible working schedule.
- Unlimited vacation.
- Design and implement scalable and efficient data architectures for geospatial data processing.
- Develop and maintain data models to support geolocation and mapping requirements.
- Implement ETL processes to ingest, transform, and load geospatial data from various sources.
- Integrate third-party geolocation and mapping services into our data infrastructure.
- Optimize data processing pipelines for performance, ensuring timely and accurate geospatial data delivery.
- Conduct performance tuning and troubleshooting of data infrastructure components.
- Establish and enforce data quality standards for geospatial datasets.
- Implement data governance practices to ensure the integrity and security of location-based data.
- Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to understand data requirements.
- Communicate effectively with stakeholders to convey complex geospatial concepts and technical solutions.
- Perform any other tasks when assigned.
- Proven experience of 5+ years in data engineering with a focus on geolocation, mapping, or location technology.
- Proficiency in programming languages such as Python, or any other related tools.
- Strong expertise in designing and optimizing data processing pipelines.
- Experience with geospatial databases (e.g., PostGIS, BigQuery, Athena, DuckDB) and geospatial data formats (e.g., GeoJSON, Shapefile).
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Fluently in English (speaking, reading, and writing).
- Able to work within the EU time zone.
- Data Architecture and Modeling
- Data Processing and Integration
- Optimization and Performance
- Data Quality and Governance
- Project Management
- Strong Analytical Skills
- Excellent Communication Skills