Deskripsi Pekerjaan
Join AS White as a Data Warehouse Engineer and leverage your technical expertise to design, develop, and optimize large-scale data warehouse solutions. In this pivotal role, you will be responsible for building robust data pipelines and ensuring data integrity across our cloud infrastructure. We are seeking a proactive problem-solver who is passionate about transforming raw data into actionable insights to drive business decisions.
As part of our dynamic IT team, you will collaborate closely with data analysts and backend developers to create scalable architectures that support our growing data needs. You will be instrumental in implementing best practices for data security, performance tuning, and system reliability. This is a fantastic opportunity for a detail-oriented engineer to advance their career in a forward-thinking environment.
Your expertise will directly impact our ability to manage complex datasets efficiently. You will oversee the end-to-end lifecycle of data warehousing projects, ensuring that our systems remain agile and capable of handling high-volume transactions. If you are ready to take on challenging technical problems and contribute to a world-class data infrastructure, we want to hear from you.
Tanggung Jawab
- Design, build, and maintain scalable data warehouse architectures using modern cloud technologies.
- Develop and optimize ETL/ELT pipelines to ensure seamless data ingestion and transformation.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Implement data governance policies to ensure data quality, accuracy, and compliance with regulations.
- Monitor system performance and troubleshoot complex issues to minimize downtime.
- Conduct regular data audits and optimize query performance for large datasets.
- Stay updated on emerging data engineering trends and propose innovative improvements to existing systems.
Kualifikasi
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience (3+ years) as a Data Warehouse Engineer or Data Engineer.
- Strong proficiency in SQL and experience with database modeling tools.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with ETL tools like Informatica, Talend, or custom Python scripts.
- Understanding of data warehousing concepts such as star schema, snowflake schema, and dimensional modeling.
- Excellent problem-solving skills and the ability to work in a fast-paced agile environment.