The position is for a Senior Data Engineer, which is a full-time role based remotely in the Philippines.
The compensation for this role is up to ₱100,900.00.
The Senior Data Engineer will lead the design, development, and optimization of complex data systems.
Responsibilities include leading the end-to-end design and development of robust, scalable data pipeline projects across multiple platforms and data sources, optimizing data systems for high performance, conducting code reviews, mentoring junior engineers, collaborating with cross-functional teams, and troubleshooting complex data issues.
The primary focus areas are advanced data engineering, data performance tuning, technical leadership, and cross-functional collaboration.
The role requires independent decision-making regarding data system design and architecture.
Strong communication skills are essential for coordinating with the Data Engineering Lead and other teams.
Requirements:
A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required.
Candidates must have 5+ years of hands-on experience in data engineering or backend data systems development.
Proficiency in data pipeline orchestration and workflow management is necessary.
Experience with tools such as Apache Airflow, Prefect, Apache NiFi, Talend, AWS Glue, and Azure Data Factory is required.
Familiarity with monitoring tools like DataDog or similar is needed.
Knowledge of DevOps and CI/CD tools, including Docker, Git, and CircleCI, is essential.
Candidates should have experience in building data solutions at an enterprise scale.
Benefits:
Employees will enjoy 2 rest days per week.
The position includes a 13th month pay as a bonus.
Paid time off is provided for vacation and sick leaves.
Comprehensive HMO coverage is available upon regularization.
Essential work devices will be provided for seamless productivity.
The role offers the flexibility of working from home, allowing employees to work from anywhere in the world without commuting to an office.