Principal Data Engineer

Tkxel; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Tkxel in the Philippines is hiring for a data engineer to design, build, test, and maintain scalable data pipelines. You will work with Azure Fabric tools, Delta Lake, and Databricks to manage data lakes and centralized repositories.

The role emphasizes data governance, quality, and secure data handling, with a focus on performance optimization and cross-system data integration.

Qualifications

• Experience with Azure Data Lake or Delta Lake implementations.
• Experience with Apache Spark or Databricks platforms.
• Knowledge of implementing Apache Spark using PySpark.

Responsibilities

• Designs, builds, tests, and maintains scalable data pipelines using Microsoft Fabric and related tech.
• Performs data availability assessment and ensures timely collection and validation of data sets.
• Develops ETL processes to extract, transform, and load data into central repositories.
• Manages data lake storage architectures with Azure OneLake for easy access and analysis.
• Integrates data from multiple business systems into a unified data platform.
• Implements data governance and quality controls, including validation and cleansing.
• Monitors and tunes pipeline and database performance to meet requirements.
• Implements security measures to protect data integrity and ensure compliance.

Skills

Azure Data Lake

Apache Spark

PySpark

Tools

Databricks

Job description

Philippine National Bank, Philippines | Posted on 09/22/2026

Tkxel is a leading softwaredevelopment company located in Reston, Virginia. We are committedto develop innovative software solutions for leading enterprisesin the world, helping them grow their businesses using latesttechnology solutions.

Job Description

• Data Pipeline Development: Builds understanding of the data needs of the clinet and designs, constructs, installs, tests, and maintains highly scalable data management systems using Microsoft Fabric suite (Azure Data Factory, Azure Synapse Analytics, etc.) and other relevant technologies that can efficiently and effectively meet those needs
• Perform data availability assessment and implement robust processes to ensure the timely identification, collection, and validation of relevant data sets required for the client
• ETL Processes: Develops ETL processes to extract data from various sources, transform the data according to business rules, and load it into a centralised data repository, ensuring data accuracy and availability.
• Data Lake: Implements and manages data storage solutions using Azure OneLake and ensures optimal data storage architecture for ease of access and analysis.
• Data Integration: Integrates data from various business systems into a unified data platform, enabling a consolidated view of information across the organization.
• Data Quality and Governance: Ensures data accuracy and quality by implementing data governance and quality control measures, including data validation and cleansing.
• Performance Optimisation: Monitors, tunes, and reports on the performance of data pipelines and databases to ensure they meet the functional and performance requirements.
• Security and Compliance: Implements security measures to protect data integrity and compliance with data protection regulations and company policies.

Requirements

Skills:

• Azure Data Lake orApache Delta Lake
• Apache Spark or Databricks,
• Knowledge of implementing Apache Spark using pyspark