- Design develop and maintain databases for analytical and reporting needs
- Create and optimize Data Warehouse structures
- Design and implement Data Marts for various business domains
- Ensure data quality consistency and performance
- Collaborate with BI Engineers to support reporting and self-service analytics
- Develop and maintain permission and access control models
- Support and improve existing database solutions
- Build and maintain ELT pipelines
- Participate in performance tuning and optimization of analytical workloads
Qualifications :
- Knowledge of database fundamentals: indexing normalization transactions query optimization
- Hands-on experience in database development and data modeling
- Understanding of data warehousing concepts (star/snowflake schemas fact & dimension tables)
- Experience with analytical workloads and reporting systems
- Knowledge of ETL/ELT concepts and data pipelines
- Experience with structured and semi-structured data
- Understanding of data access control and permission models
- Good communication skills and ability to work with cross-functional teams
- BS in Computer Science or related field (or equivalent practical experience)
- Strong SQL skills
- Strong experience with RDBMS (MS SQL Server or similar)
- Solid data modeling skills (DWH Data Marts)
- Good Python knowledge
- Basic AI prompting skills
- Intermediate level of English
Nice to Have
- Dagster Airflow or other orchestration tools
- Experience with BI tools (Apache Superset Power BI etc.)
- Experience with performance optimization and analytical databases usage (Clickhouse)
Remote Work :
Yes
Employment Type :
Full-time
Design develop and maintain databases for analytical and reporting needsCreate and optimize Data Warehouse structuresDesign and implement Data Marts for various business domainsEnsure data quality consistency and performanceCollaborate with BI Engineers to support reporting and self-service analytic...
- Design develop and maintain databases for analytical and reporting needs
- Create and optimize Data Warehouse structures
- Design and implement Data Marts for various business domains
- Ensure data quality consistency and performance
- Collaborate with BI Engineers to support reporting and self-service analytics
- Develop and maintain permission and access control models
- Support and improve existing database solutions
- Build and maintain ELT pipelines
- Participate in performance tuning and optimization of analytical workloads
Qualifications :
- Knowledge of database fundamentals: indexing normalization transactions query optimization
- Hands-on experience in database development and data modeling
- Understanding of data warehousing concepts (star/snowflake schemas fact & dimension tables)
- Experience with analytical workloads and reporting systems
- Knowledge of ETL/ELT concepts and data pipelines
- Experience with structured and semi-structured data
- Understanding of data access control and permission models
- Good communication skills and ability to work with cross-functional teams
- BS in Computer Science or related field (or equivalent practical experience)
- Strong SQL skills
- Strong experience with RDBMS (MS SQL Server or similar)
- Solid data modeling skills (DWH Data Marts)
- Good Python knowledge
- Basic AI prompting skills
- Intermediate level of English
Nice to Have
- Dagster Airflow or other orchestration tools
- Experience with BI tools (Apache Superset Power BI etc.)
- Experience with performance optimization and analytical databases usage (Clickhouse)
Remote Work :
Yes
Employment Type :
Full-time
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