Deskripsi Pekerjaan
Are you a passionate data professional looking to elevate your career within a dynamic and forward-thinking environment? Eclaro is seeking a highly skilled AWS Data ETL Engineer to join our elite team in Taguig City. In this role, you will be at the heart of our data infrastructure, designing and optimizing robust ETL pipelines that drive critical business insights.
You will work with cutting-edge cloud technologies, collaborating with cross-functional teams to ensure data integrity, scalability, and performance. We value innovation, technical excellence, and a collaborative spirit. If you thrive on solving complex data challenges and want to be part of a team that empowers your professional growth, we want to hear from you.
Tanggung Jawab
- Design, develop, and maintain scalable ETL/ELT pipelines using AWS cloud services (Glue, Lambda, EMR, Kinesis).
- Collaborate with data architects and stakeholders to understand requirements and translate them into efficient data models.
- Optimize existing data workflows to improve performance, reduce latency, and ensure cost-efficiency.
- Perform data profiling, cleansing, and validation to ensure high standards of data quality and consistency.
- Implement security and compliance best practices for data storage and transmission within the AWS ecosystem.
- Monitor and troubleshoot data pipeline failures, providing rapid resolutions and root cause analysis.
- Document technical specifications, architecture diagrams, and data mapping logic.
- Stay current with emerging trends in Big Data and cloud engineering to suggest continuous improvements.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Minimum of 3+ years of professional experience in data engineering or a similar technical role.
- Proven expertise in AWS cloud services (S3, Redshift, Glue, Athena, RDS).
- Strong proficiency in programming languages commonly used in data pipelines (Python, Scala, or SQL).
- Hands-on experience with orchestration tools (e.g., Apache Airflow, AWS Step Functions).
- Solid understanding of data warehousing concepts, star schemas, and dimension modeling.
- Experience with CI/CD pipelines and version control systems like Git.
- Strong analytical, problem-solving, and communication skills.