Data Engineer Leader

6 days ago


Cebu City, Central Visayas, Philippines Manulife Full time

Company Overview

We are a leading international financial services provider dedicated to making decisions easier and lives better for our customers and colleagues around the world. Our mission is to drive real change through innovative solutions, strategic partnerships, and a commitment to excellence.

At Manulife, we believe in creating a workplace that fosters growth, respect, and meaningful challenges for our team members. We strive to be an employer of choice by providing opportunities for development, diversity, and inclusion.

Job Description

We are seeking a highly skilled Senior Data Engineer to join our global network of industry experts. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining data solutions that collect, store, process, and analyze large volumes of data efficiently and accurately.

You will lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design review and sign-off. Your expertise will be essential in translating business requirements into technical solutions, working with development teams, architects, and business analysts to ensure conformance to enterprise standards, architecture, and technologies.

Required Skills and Qualifications

  • 10+ years of professional experience with designing and developing data warehouses and ETL tools and technologies.
  • Strong experience as an Azure Data Engineer and must have Azure Databricks experience.
  • Expert level understanding of Azure Data Lake, Azure SQL databases, Azure Data Factory, and Azure Databricks is required.
  • Hands-on experience designing and developing scripts for ETL processes and automation in Azure Data Factory, Azure Databricks, and Pyspark.
  • Experience preparing data for use in Data Science/Advanced Analytics using Azure ML.
  • Experienced with the Hadoop ecosystem and toolset – HDFS, MapReduce, Spark, Python, Scala, Hive, and Oozie.
  • Experience with CI/CD tools such as GitHub, Jenkins, and Azure DevOps to configure and build CI/CD pipelines.
  • Knowledge of BI tools such as PowerBI.

Benefits

  • A competitive salary package
  • HMO on the first day with free dependents
  • Retirement benefits
  • Merit Increase
  • Performance Bonus
  • Global network of industry experts
  • Extensive training resources


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