Deskripsi Pekerjaan
Are you an experienced and passionate Data Warehouse Engineer ready to make a significant impact? Satellite Office is actively seeking a talented individual to enhance our data capabilities in a hybrid work environment, primarily based at our modern Uptown Place office in the vibrant Bonifacio Global City, Taguig. This is an exceptional opportunity for a skilled professional to join a forward-thinking team dedicated to leveraging data for strategic growth and operational excellence.
As our Data Warehouse Engineer, you will be instrumental in the end-to-end lifecycle of our data warehousing solutions. This involves everything from conceptual design and architecture to development, deployment, and ongoing optimization of high-performance data systems. You will play a critical role in transforming vast amounts of raw data into structured, accessible, and insightful information, enabling our stakeholders to make informed, data-driven decisions. Your expertise will directly contribute to building resilient ETL pipelines, ensuring data integrity, and enhancing our overall business intelligence infrastructure.
We are looking for someone who thrives on solving complex data challenges, is proficient with modern data warehousing technologies, and is eager to collaborate with cross-functional teams. If you are passionate about data architecture, possess a keen eye for detail, and are committed to delivering high-quality data solutions, Satellite Office offers a stimulating environment where your contributions will be highly valued. Join us in Bonifacio Global City and be a part of a team that is shaping the future of data!
Tanggung Jawab
- Design, develop, and maintain scalable and efficient data warehousing solutions, including data models, ETL processes, and data integration strategies.
- Develop and optimize ETL (Extract, Transform, Load) pipelines using various tools and scripting languages to ensure timely and accurate data delivery.
- Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and translate them into technical specifications.
- Monitor, troubleshoot, and resolve issues related to data quality, data pipeline failures, and data warehouse performance.
- Implement data governance, security, and compliance best practices within the data warehouse environment.
- Contribute to the continuous improvement of data infrastructure, tools, and processes.
- Perform data profiling and analysis to identify data quality issues and propose solutions.
Kualifikasi
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related quantitative field.
- 3-5+ years of professional experience as a Data Warehouse Engineer, ETL Developer, or similar role.
- Strong proficiency in SQL and experience with relational and/or NoSQL databases.
- Demonstrable experience with ETL tools and data integration techniques (e.g., SSIS, Informatica, Talend, Apache Airflow, DataFactory).
- Solid understanding of data warehousing concepts, Kimball methodology, and dimensional modeling.
- Experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery) is highly advantageous.
- Proficiency in scripting languages like Python for data manipulation and automation.
- Excellent analytical, problem-solving, and communication skills, with the ability to work effectively in a hybrid team environment.