Deskripsi Pekerjaan
Join Reed Elsevier's dynamic data team as a Data Engineer (SQL) and play a pivotal role in transforming raw data into actionable business intelligence. In this hands-on position, you'll architect robust data pipelines, optimize database performance, and empower stakeholders with data-driven insights. Leverage your expertise in SQL to design scalable data solutions while collaborating with cross-functional teams to solve complex business challenges. You'll work with cutting-edge tools including PowerBI for visualization and Kibana for log analysis, ensuring data integrity across enterprise systems. This role offers the opportunity to shape our data strategy while growing your skills in cloud technologies and big data ecosystems.
Tanggung Jawab
- Design, develop, and maintain scalable ETL pipelines using SQL and data warehousing best practices
- Optimize database performance through query tuning, indexing, and schema design
- Create interactive data visualizations using PowerBI and Kibana to drive business decisions
- Implement data governance frameworks ensuring quality, security, and compliance standards
- Collaborate with data scientists to prepare datasets for machine learning applications
- Monitor data infrastructure and troubleshoot performance issues in real-time environments
- Document data processes and develop technical specifications for engineering solutions
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related quantitative field
- Minimum 3 years of experience in SQL database development and optimization
- Proficiency in ETL tools and data warehousing methodologies
- Strong skills in PowerBI and Kibana for data visualization and analysis
- Experience with cloud platforms (AWS/Azure/GCP) and big data technologies
- Knowledge of data modeling techniques and database normalization principles
- Excellent problem-solving abilities and clear communication skills