Data Engineer Manager

Michael Page; Taguig; Vor Ort; PHP 2.009.000 - 2.344.000; Vollzeit

Zusammenfassung

Michael Page is looking for a Data Engineer Manager to design and implement scalable data pipelines and ETL/ELT processes for enterprise clients in the Philippines. The role emphasizes building and maintaining robust data infrastructure and working with modern big data tools.

You will oversee Hadoop/Spark ecosystems, leverage Kafka for streaming, and collaborate with analytics teams to deliver timely insights. Mentorship and strong leadership are key to driving engineering excellence.

Qualifikationen

• Strong proficiency in Python and SQL with data engineering tools such as Hadoop, Hive, and Spark.
• Hands-on experience with cloud platforms and distributed systems.
• Knowledge of NoSQL and RDBMS databases.
• Proven expertise in building and managing ETL/ELT processes and data pipelines.
• Understanding of real-time data processing frameworks and big data technologies.
• Solid grasp of data architecture and infrastructure design; ability to lead and mentor a team.

Aufgaben

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Oversee big data solutions using Hadoop, Spark, and Kafka.
• Manage data architecture and infrastructure for large datasets.
• Collaborate with analytics teams to enable reporting and insights.
• Implement real-time data processing systems for critical apps.
• Utilise cloud platforms to optimise workflows and storage.
• Ensure reliability and performance of distributed data infrastructure.
• Mentor and guide team members to engineering excellence.

Kenntnisse

Python

SQL

Hadoop

Hive

Spark

Cloud platforms

NoSQL

RDBMS

ETL/ELT

Real-time processing

Data architecture

Tools

Kafka

Airflow

Jobbeschreibung

Job Description:

• Build large-scale data platforms used across enterprise clients
• Lead end-to-end data transformation and modernization projects

About Our Client

A financial services organisation based in Pasay City.

Job Description

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Oversee the implementation of big data solutions using tools such as Hadoop, Spark, and Kafka.
• Manage data architecture and infrastructure to enable efficient storage and processing of large datasets.
• Collaborate with analytics teams to ensure seamless integration of data for reporting and insights.
• Implement real-time data processing systems for critical business applications.
• Utilise cloud platforms to optimise data engineering workflows and storage solutions.
• Ensure the reliability and performance of distributed systems and data infrastructure.
• Mentor and guide team members to achieve engineering excellence.

The Successful Applicant

A Successful Data Engineer Manager Should Have

• Strong proficiency in Python, SQL, and data engineering tools such as Hadoop, Hive, and Spark.
• Hands-on experience with cloud platforms and distributed systems.
• Knowledge of both NoSQL and RDBMS databases.
• Proven expertise in building and managing ETL/ELT processes and data pipelines.
• Understanding of real-time data processing frameworks and big data technologies.
• Solid grasp of data architecture and infrastructure design.Ability to lead and mentor a team effectively.

What's on Offer

• Competitive monthly salary between PHP 180000 and PHP 210000.
• Permanent position within the financial services industry.
• Opportunities to work with advanced data engineering technologies.

Quote job ref: JN-102026-7120278