Senior Data AI Engineer
Summary
Designs and maintains scalable data pipelines and warehouses (e.g., Fabric, Databricks) to collect, store, and analyze data for analytics and ML, using SQL, Python, and cloud platforms.
Job Description:
A Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable data collection, storage, and analysis.
They ensure data is reliable, accessible, and optimized for business intelligence, analytics, and machine learning use cases.
Key Responsibilities
Develop and manage data warehouses and data lakes (e.g. Fabric, Databricks)
Design, build, and maintain ETL/ELT pipelines to ingest data from multiple sources;
Ensure data quality, integrity, and security across systems
Optimize data systems for performance and scalability
Collaborate with data analysts, scientists, and stakeholders to support reporting and analytics needs
Implement data governance and compliance frameworks
Monitor and troubleshoot data pipelines and workflows
Automate processes and improve data reliability
Required Skills & Experience
Strong programming skills in SQL, Python, or Scala
Knowledge of cloud platforms (AWS, Azure, or Google Cloud)
Experience with ETL tools (e.g. Airflow, Talend, dbt)
Experience with data modelling and database design
Familiarity with big data technologies (e.g. Spark, Hadoop, Kafka)
Understanding of data security and compliance practices
Problem-solving skills and attention to detail
Location
Willing to work in Pasig City and Quezon City, as required by the company.