Deskripsi Pekerjaan
Are you a data-driven professional looking to elevate your career within a high-growth environment? Arch Global Services is seeking a talented Mid-Level Data Engineer to join our Strategic Analytics team in Santa Ana, Metro Manila. We are a dynamic unit dedicated to building innovative predictive models and cutting-edge analytical tools that directly influence our company’s profitability and long-term strategic direction.
As a Data Engineer, you will play a pivotal role in designing, building, and maintaining robust data pipelines. You will collaborate with data scientists and business stakeholders to transform raw data into actionable insights, ensuring high availability, performance, and scalability. If you are passionate about data architecture and thrive in a collaborative, fast-paced setting, we want to hear from you.
Tanggung Jawab
- Design, develop, and optimize scalable ETL/ELT pipelines to support predictive modeling and reporting.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
- Maintain and monitor high-performance data warehouses and data lakes.
- Ensure data quality, integrity, and security across all analytical platforms.
- Automate manual data processes to increase operational efficiency.
- Troubleshoot and resolve complex data pipeline issues in a timely manner.
- Document technical workflows and data architecture to ensure knowledge sharing across the team.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- 3+ years of professional experience in data engineering or a similar technical role.
- Strong proficiency in SQL and advanced data manipulation techniques.
- Experience with cloud platforms (AWS, Azure, or GCP) and Big Data technologies.
- Experience with Python or Scala for data processing and automation.
- Familiarity with containerization tools such as Docker or Kubernetes.
- Strong analytical problem-solving skills and attention to detail.
- Ability to work effectively in a mid-shift capacity within a collaborative team environment.