Azure Data Engineer

We're Hiring: Azure Data Engineer

Work Where People Matter

At Tech Mahindra Philippines, we're more than just a BPO we're a Certified Great Place to Work where your growth and well-being come first. With thriving hubs in Cebu and Manila, we're helping people like you build meaningful careers while making a real difference for customers around the world.

Why You'll Love It Here

Growth you can see promotions and career paths await

Learning that sticks trainings to sharpen your skills

A workplace that cares inclusive, supportive, and people-first

Health coverage you can count on

Rewards when you refer friends to join the team

Your Day-to-Day

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.

What We're Looking For

Required 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 (7+ years) 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.

Amenable for 1 year contract, subject for extension

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.

Work Setup

Work Location: Makati City, Day Shift

Shift: Day shift

About Tech Mahindra Philippines

Tech Mahindra is a global leader in digital transformation, consulting, and business re-engineering services. In the Philippines, our teams in Manila and Cebu drive world-class customer experiences and advanced technology solutions for global brands. We foster a culture of collaboration, diversity, and growth empowering every associate to thrive.