(ACTIVE) Data Engineer- Data Engineering I Onsite Manila I ATCP-1443903-S425759

Data Engineer – Data Engineering

Job Details

• Work Location: Manila, Philippines

• Work Setup: 100% Onsite

• Work Shift: Shifting Schedule

• Salary: Confidential — to be discussed during the job offer

• Minimum Experience: 2+ years

• Key Technology: Databricks Unified Data Analytics Platform

About the Role

Are you passionate about building efficient data pipelines and transforming complex data into valuable insights? We are looking for a skilled Data Engineer with hands-on experience in Databricks to design, develop, and maintain scalable data solutions.

In this role, you will work with data pipelines, ETL/ELT processes, and data transformation workflows while collaborating with cross-functional teams to improve data quality, performance, and reliability.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Apache Spark within Databricks .

• Build batch and streaming data workflows.

• Implement ETL/ELT processes to transform raw data into curated datasets.

• Optimize queries for speed and efficiency.

• Design Snowflake schemas and create fact and dimension tables.

• Implement data access controls and permissions using Unity Catalog .

• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.

• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.

• Document data processes, workflows, and technical solutions.

• Participate actively in team discussions and contribute to continuous improvement.

• Stay updated on data engineering trends and best practices.

Required Qualifications

• Minimum 2 years of hands-on experience with Databricks Unified Data Analytics Platform .

• Strong understanding of data pipeline architecture and implementation.

• Experience with data integration, transformation, and ETL/ELT processes.

• Knowledge of Apache Spark and distributed computing.

• Familiarity with cloud-based data platforms.

• Ability to troubleshoot data-related issues efficiently.

• Strong understanding of data workflow optimization, scalability, and performance.

• Willingness to work onsite in Manila on a shifting schedule.

Recruitment Process

1. Initial screening with a CV Reviewer.

2. Endorsement for validation and further CV screening through Workday, including the HRI toolkit, FCV, and CV.

3. Client review.

Pre-Screening Questions

Please be prepared to answer the following:

1. How many years of relevant, hands-on experience do you have with Databricks Unified Data Analytics Platform?

2. What was your last drawn salary?

3. What is your expected salary?

4. Are you amenable to working onsite in Manila on a shifting schedule?

Application Requirements

• Submit your latest CV in PDF format .

• Ensure your CV clearly highlights your Databricks experience, data engineering skills, and relevant project work.

• Include screening notes based on the requirements above.

If you have strong Databricks experience and enjoy building scalable, reliable data solutions, we encourage you to apply!