Data Engineer: Cloud Pipelines, Analytics & Scale

Prudential; Manila; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Prudential is seeking a data infrastructure professional in Manila to design, build, and maintain scalable data pipelines and data lakes that power analytics and ML initiatives.

You will assemble large, complex datasets, optimize ETL processes, and collaborate with Business partners and Data teams to deliver reliable data infrastructure while ensuring compliance with internal standards.

Qualifications

• Bachelor’s degree in Engineering/IT/CS or equivalent.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases like Postgres and Cassandra.
• Experience with data pipeline/workflow tools: Qlik Replicate, FiveTran, Azure Data Factory.
• Experience with Azure cloud services.
• Experience with stream-processing systems: Kafka, Spark Streaming.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets meeting business requirements.
• Identify and implement internal process improvements for data delivery.
• Build infrastructure for ETL of data from various sources using SQL and big data technologies.
• Develop analytics tools to provide insights on customer acquisition and operations.
• Collaborate with Business, Data, and Design teams to support data infrastructure needs.
• Ensure compliance with company policies and standards.

Skills

Python

Java

C++

Scala

SQL/NoSQL

Big data concepts

Education

Bachelor’s degree in Engineering/IT/CS

Tools

Hadoop

Spark

Kafka

Qlik Replicate

FiveTran

Azure Data Factory

Postgres

Cassandra

Job description

Prudential is seeking a data infrastructure professional in Manila to design, build, and maintain scalable data pipelines and data lakes that power analytics and ML initiatives.

You will assemble large, complex datasets, optimize ETL processes, and collaborate with Business partners and Data teams to deliver reliable data infrastructure while ensuring compliance with internal standards.