Analytics Engineer
Summary
Designs, builds, and maintains the company's data infrastructure and ETL pipelines that integrate, transform, and deliver data across the enterprise, optimizing them for performance and data quality. Core tech includes Apache Kafka, Airflow, and Spark, Java/Python/C++, and SQL/NoSQL databases, working onsite in Malate, Manila.
About the role
Designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. Builds and manage the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.
Key responsibilities
Design and develop data pipelines that extract data from various sources, transform them into the desired format, and load it into the appropriate data storage system
Integrate data from different sources, including databases, data warehouses, APIs, and external systems
Optimize data pipelines and data processing workflows for performance, scalability, and efficiency
Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
About you
Bachelor's degree in computer science, data science, software engineering, information systems, or any related course
Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines
Strong ability in programming languages such as Java, Python, and C/C++
Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
Willing to work onsite in Malate, Manila