Senior Data Engineer
Tasks
- Build analytics solutions
- Collaborate with business analysts
- Collaborate with data scientists
- Coordinate customer requirements
- Deploy analytics solutions
- Design data ingestion components
- Ensure solution availability
- Ensure solution performance
- Ensure solution reliability
- Ensure solution scalability
- Extract, transform and load data
- Implement batch processing pipelines
- Implement data streaming pipelines
- Improve platform maintainability
- Improve platform quality
- Improve platform robustness
- Improve platform speed
- Maintain analytics solutions
- Manage data warehouses
- Participate in agile planning
- Perform QA tasks
- Perform development tasks
- Perform devops tasks
Perks/Benefits
- Company paid premium medical package
- Company-paid certifications
- Conferences Workshops
- Full remote working possibilities
- Internal events
- Language courses
- MyBenefit Cafeteria Platform
- Udemy access
Skills/Tech-stack
AWS | Agile | Algorithms | Aster Data | Azure | Batch Processing | C# | CI/CD | Cassandra | Code review | Control Management | Data Ingestion | Data Quality | Data Quality Testing | Data Streaming | Data Structures | Data Visualization | Data Warehousing | Databricks | ETL | GCP | Greenplum | HBase | Hadoop | Hive | Impala | Kafka | MapReduce | Netezza | Pig | PowerBI | Python | Quality testing | SQL | Scrum | Snowflake | Source Control | Source Control Management | Spark | Storm | Tableau | Test automation | Vertica
Education
N/A
Roles
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