Data Engineer: Build Scalable Pipelines & Data Lakes

prudential

Metro Manila

On-site

PHP 600,000 - 1,200,000

Full time

3 days ago

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Job summary

Prudential Philippines is expanding its data analytics and ML initiatives by building robust data pipelines and data warehouses. You will design, implement, and maintain scalable data infrastructure, ensuring data quality and security across multiple sources while collaborating with business partners and design teams.

The role emphasizes extracting meaningful insights to drive customer acquisition, operational efficiency, and business performance metrics.

Qualifications

Bachelor's degree in engineering, IT or CS or equivalent.
Experience with big data tools (Hadoop, Spark, Kafka).
Relational SQL and NoSQL databases including Postgres/Cassandra.
Experience with data pipelines and workflow tools (Qlik Replicate, FiveTran, ADF).
Experience with Azure cloud services and stream-processing systems.
Proficiency in Python/Java/C++/Scala.

Responsibilities

Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets meeting business requirements.
Identify and implement internal process improvements for scalability.
Build infrastructure for ETL from diverse data sources using SQL and big data tech.
Develop analytics tools to derive insights on customer acquisition and operations.
Collaborate with business partners and design teams on data infra needs.
Ensure compliance with company policies and reporting requirements.