Azure Data Engineer

8 hours ago

Manila, National Capital Region, Philippines PeoplePlusTech Inc. Full time $90,000 - $120,000 per year

JOB TITLE:

Azure Data Engineer

LOCATION:

Hybrid, Ayala

WORK HOURS:

Shifting

Summary

We are seeking a Data Engineer to design, build, and optimize scalable data pipelines using Microsoft Azure services. In this role, you'll work with cross-functional teams to deliver high-quality, reliable, and cost-effective data solutions that power analytics and decision-making. The ideal candidate combines strong software engineering principles with expertise in big data, cloud technologies, and automation to ensure data is accessible, accurate, and ready for business use.

Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
  • Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
  • Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.
  • Optimize data pipelines in the Azure environment for performance, scalability, and reliability.
  • Ensure data quality and integrity through data validation techniques and frameworks.
  • Develop and maintain documentation for data processes, configurations, and best practices.
  • Monitor and troubleshoot data pipeline issues to ensure timely resolution.
  • Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.
  • Manage the CI/CD process for deploying and maintaining data solutions.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
  • Proven experience as a Data Engineer or similar role dealing with data and ETL processes.
  • Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
  • Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
  • Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
  • Experience with big data technologies (e.g., Spark).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Learning agility
  • Technical Leadership
  • Consulting and managing business needs
  • Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted.
  • Experience building spark applications utilizing PySpark.
  • Experience with file formats such as Parquet, Delta, Avro.
  • Experience efficiently querying API endpoints as a data source.
  • Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.
  • Understanding of Git workflows in software development.
  • Using Azure DevOps pipeline and repositories to deploy and maintain solutions.
  • Understanding of Ansible and how to use it in Azure DevOps pipelines.

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