Data Warehouse Developer

Bitdefender is a cybersecurity leader delivering best-in-class threat prevention, detection, and response solutions worldwide. Guardian over millions of consumer, enterprise, and government environments, Bitdefender is one of the industry’s most trusted experts for eliminating threats, protecting privacy, digital identity and data, and enabling cyber resilience. With deep investments in research and development, Bitdefender Labs discovers hundreds of new threats each minute and validates billions of threat queries daily.

The company has pioneered breakthrough innovations in antimalware, IoT security, behavioral analytics, and artificial intelligence and its technology is licensed by more than 180 of the world’s most recognized technology brands. Founded in 2001, Bitdefender has customers in 170+ countries with offices around the world. For more information, visit https://www.bitdefender.com

As

• *a Data Warehouse Developer**

, you will play a key role in transforming data into actionable insights. You will work closely with business analysts and engineers to design, build and maintain the data warehouse

• *.
• *Responsibilities:
• Develop, maintain, and optimize ETL/ELT pipelines to integrate data from multiple sources;
• Write complex SQL queries and transformations for reporting and analytics;
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions;
• Assist in the design and implementation of dimensional data models (facts, dimensions);
• Ensure data quality, accuracy, and consistency across the data warehouse; Support performance tuning and optimization of queries and processes;
• Manage and support data integrations with various platforms and APIs.
• *Qualifications:
• 1–3 years of experience in a similar role;
• Ability to work independently while knowing when to seek support;
• Strong self-learning mindset with a continuous drive for professional growth;
• Analytical thinking and problem-solving skills;
• Solid T-SQL (SQL Server) skills, including complex queries and data transformations;
• Good understanding of data warehousing concepts (ETL/ELT processes, dimensional modeling).
• *Nice-to-Have:
• Familiarity with cloud data platforms (e.g., Azure, GCS);
• Familiarity with data integration and transformation processes;
• Basic experience with performance tuning and query optimization;
• Understanding of data governance and data quality best practices;
• Familiarity with relational databases and SQL Server ecosystem (SQL Server, SSIS, SSAS, etc.)
• Familiarity with version control systems (Bitbucket, Git).