Data Engineer

Vertere Global Solutions, Inc.; Mandaluyong; On-site; PHP 480,000 - 720,000; Full time

Job summary

Vertere Global Solutions, Inc. is seeking a Data Engineer to design and maintain scalable data solutions supporting BI, analytics, and ML initiatives. You will develop pipelines, optimize architecture, ensure data quality, and collaborate with cross-functional teams to deliver reliable data platforms.

You will work with Python, SQL, Scala/Java and cloud services (AWS, Azure, GCP) to build robust data infrastructure, emphasizing governance, security, and performance.

Qualifications

• Minimum 2 years of experience as a Data Engineer or similar role.
• Bachelor's degree in Engineering, MIS, CS, IT, or Data Science.
• Strong knowledge of data pipelines and data modeling.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for data ingestion, transformation, and integration.
• Build and optimize scalable data warehouses, data lakes, and lakehouse architectures.
• Implement data quality frameworks with automated validation, cleansing, monitoring, and governance processes.
• Identify and resolve performance bottlenecks by optimizing queries, workflows, and data processing jobs.
• Collaborate with data analysts, data scientists, software engineers, and other stakeholders to ensure the availability of clean and reliable datasets.
• Support data platform enhancements, automation initiatives, and continuous process improvements.
• Ensure compliance with information security, data privacy, and organizational data governance standards.

Skills

Python

SQL

Scala

Java

AWS Glue

AWS EMR

AWS Redshift

Azure Synapse

Azure Data Factory

Google BigQuery

Dataproc

Apache Spark

Apache Flink

Hadoop

Kimball

Star Schema

Snowflake Schema

Data Vault

Apache Airflow

Prefect

Dagster

Terraform

AWS CloudFormation

Git

CI/CD

AWS Certified Data Engineer

Google Professional Data Engineer

Azure Data Engineer Associate

Education

Bachelor's Degree in Engineering, MIS, CS, IT, Data Science

Job description

Data Engineer

Job Overview

We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data solutions that support business intelligence, analytics, and machine learning initiatives. The ideal candidate will be responsible for developing data pipelines, optimizing data architecture, ensuring data quality, and collaborating with cross-functional teams to deliver reliable and efficient data platforms.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and integration.

• Build and optimize scalable data warehouses, data lakes, and lakehouse architectures.

• Implement data quality frameworks, including automated validation, cleansing, monitoring, and governance processes.

• Identify and resolve performance bottlenecks by optimizing queries, workflows, and data processing jobs.

• Collaborate with data analysts, data scientists, software engineers, and other stakeholders to ensure the availability of clean and reliable datasets.

• Support data platform enhancements, automation initiatives, and continuous process improvements.

• Ensure compliance with information security, data privacy, and organizational data governance standards.

Qualifications

Technical Skills

• Strong proficiency in Python, SQL, and Scala or Java.

• Extensive experience with AWS services such as Glue, EMR, and Redshift.

• Experience with Azure (Synapse Analytics, Data Factory) and/or Google Cloud Platform (BigQuery, Dataproc) is an advantage.

• Hands-on experience with Apache Spark, Apache Flink, or Hadoop.

• Solid understanding of data modeling methodologies, including:

  • Kimball Methodology

  • Star Schema

  • Snowflake Schema

  • Data Vault

• Experience with workflow orchestration tools such as:

  • Apache Airflow

  • Prefect

  • Dagster

• Proficiency in Git, CI/CD pipelines, and Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.

• Relevant certifications are highly preferred, including:

  • AWS Certified Data Engineer

  • Google Professional Data Engineer

  • Microsoft Certified: Azure Data Engineer Associate

Soft Skills

• Excellent verbal and written communication skills.

• Strong analytical, critical thinking, and problem-solving abilities.

• Strong attention to detail and commitment to data accuracy.

• Excellent organizational and time management skills.

• Ability to work collaboratively across multiple IT and business teams.

• Strong commitment to information security and data privacy standards.

• Continuous learner with a passion for emerging data technologies.

• Experience in healthcare analytics is an advantage.

Minimum Qualifications

• Bachelor's Degree in Engineering, Management Information Systems, Computer Science, Information Technology, Data Science, or other related Science and Technology fields.

• At least 2 years of relevant experience as a Data Engineer or in a similar data-focused role.

Preferred Industry Background

Candidates from the following industries are encouraged to apply:

• Telecommunications

• Consulting Services

• Multinational Companies

• Large Local Conglomerates

• Technology and Digital Services

Target Roles

• Data Engineer

• Junior Data Engineer

• Cloud Data Engineer

• Big Data Engineer

• ETL Developer

• Data Platform Engineer