Staff Data Engineer - Observability Data Lake
CVS HealthSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Database Management Systems, Cloud Computing, Data & AnalyticsIndustries
Requirements
Candidates should possess a Bachelor's degree in a related field such as Computer Science, Statistics, or Business Analytics, and have at least 7 years of experience in business intelligence and data analytics, with a strong focus on data warehousing and reporting. Experience with data modeling, ETL processes, and SQL is essential, along with familiarity with data warehouse technologies and cloud environments. Strong analytical and problem-solving skills are also required.
Responsibilities
The Business Intelligence and Data Analytics Manager will design, develop, and maintain end-to-end data warehouses for the Operations’ team, manage data molding work, optimize ETL processes, and perform data engineering tasks to connect data sources to the ClickHouse DWH. They will also own Master Data Management across the Operations’ function, including data dictionary creation and management, ensure data quality and consistency, develop reusable reports and dashboards, design and maintain “all company” metrics’ dashboards, partner with the central DWH team to ensure adherence to best practices, extend AI functionality across Operations’ metrics, and develop and implement audit reports across operational processes.
Skills
Business Intelligence
Data Analytics
Data Warehousing
Data Modeling
ETL
Data Quality
Data Governance
Reporting
Dashboarding
Communication
Clickhouse
High-speed column-oriented database management system
About Clickhouse
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.
Key Metrics
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees