Data Engineer: Build Scalable Pipelines & Data Lakes

Prudential; Taguig; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Prudential Philippines is seeking a Data Engineer to design, build, and maintain the data infrastructure that supports analytics and machine learning initiatives. You will develop data pipelines, optimize data warehouses and data lakes, and ensure the quality and security of data.

You will collaborate with Business Partners, Data and Design teams, and ensure compliance with Prudential standards while delivering scalable data platforms to enable insights into customer acquisition and operational

Qualifications

• Bachelor’s degree in Engineering, IT, Computer Science or equivalent.
• Experience with big data tools: Hadoop, Spark, Kafka.
• Experience with relational SQL and NoSQL databases including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Qlik Replicate, FiveTran, Azure Data Factory.
• Experience with Azure cloud services.
• Experience with stream-processing systems: Qlik Replicate, FiveTran.
• Experience with object-oriented languages: Python, Java, C++, Scala.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets to meet business requirements.
• Identify and implement internal process improvements for data delivery and scalability.
• Build infrastructure for ETL from varied data sources using SQL and AWS big data technologies.
• Develop analytics tools that provide insights into customer acquisition and operational metrics.
• Collaborate with business partners and data/design teams to support data infrastructure needs.
• Ensure compliance with company policies and Prudential standards.
• Perform other duties as assigned.

Education

Bachelor’s degree in Engineering, IT, Computer Science

Tools

Hadoop

Spark

Kafka

Postgres

Cassandra

Qlik Replicate

FiveTran

Azure Data Factory

Azure Cloud Services

Job description

Prudential Philippines is seeking a Data Engineer to design, build, and maintain the data infrastructure that supports analytics and machine learning initiatives. You will develop data pipelines, optimize data warehouses and data lakes, and ensure the quality and security of data.

You will collaborate with Business Partners, Data and Design teams, and ensure compliance with Prudential standards while delivering scalable data platforms to enable insights into customer acquisition and operational