Data Engineer

Engineer Smarter Data Solutions for the Facilities Services Industry Turn complex information into trusted business intelligence while building solutions that improve how essential facilities operate. The Data Engineer creates scalable pipelines, strengthens modern data platforms, and equips global teams with dependable insights. This high-impact opportunity offers top 1% talent meaningful technical ownership, work-life balance, and a long-term global career with Emapta and an established industry leader in global operations. Snapshot Employment Type: Full-time Work Setup: Hybrid, Makati Shift: Day Shift, Weekends Off Benefits Competitive Salary Package Day Shift schedule Hybrid work arrangement HMO coverage with free dependent upon regularization Prime office location in Makati (Easy access to MRT stations, restaurants, and banks) Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.) Unlimited upskilling through Emapta Academy courses (Want to know more? Visit: https://emapta.com/training-calendar/ ) Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer! Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!) Unlimited opportunities for employee referral incentives across the organization Standard government and Emapta benefits Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash) Fun engagement activities for employees Mentorship and exposure to global leaders and teams Career growth opportunities Diverse and supportive work environment Qualifications Educational Background Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field Professional Experience 3-7+ years of experience in data engineering or analytics engineering Hands-on experience building and maintaining ETL and ELT pipelines Practical experience using Apache Spark for large-scale data processing Background in data integration, data migration, and data pipeline development Experience working with data warehouses or modern lakehouse platforms Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform is preferred Required Technical Skills Strong proficiency in Python for data processing and pipeline development Advanced SQL skills , including joins, aggregations, window functions, and performance tuning Hands-on expertise in Apache Spark, PySpark, and Spark SQL Solid understanding of ETL and ELT design patterns and orchestration concepts Sound knowledge of data warehousing fundamentals and dimensional modeling, including fact and dimension tables Familiarity with modern lakehouse architectures and columnar storage formats Experience using Git and collaborative development workflows Ability to work independently, take ownership, and deliver production-grade data solutions Strong analytical thinking, problem-solving, and communication skills High levels of accountability, adaptability, flexibility, accuracy, and attention to detail Preferred Experience using Databricks and Delta Lake Familiarity with BI tools such as Power BI or Tableau Backend development experience using Node.js or FastAPI Knowledge of REST APIs, data ingestion patterns, and object-oriented programming principles Responsibilities Data Pipeline Development Design, develop, and maintain batch and incremental ETL and ELT pipelines Transform raw, semi-structured, and structured data into analytics-ready datasets Build and optimize Spark-based data transformations using PySpark and Spark SQL Apply data modeling best practices to support reporting and business intelligence use cases Manage and maintain data warehouse and lakehouse environments Implement data quality checks, monitoring processes, and pipeline reliability controls Troubleshoot pipeline failures and resolve data integrity and performance issues Data Platforms and Processing Develop scalable data processing solutions using Apache Spark Process large-scale datasets in batch and scheduled processing environments Optimize system performance and resource utilization Apply modern data lakehouse concepts using technologies such as Delta Lake and Databricks Collaboration Partner with Analytics, Business Intelligence, Backend, and Product teams to gather and refine data requirements Support downstream users by ensuring data availability, consistency, and usability Participate in solution design reviews, code reviews, and data architecture discussions Backend and Integration Build and consume REST APIs for data ingestion and exposure Contribute to backend services using Node.js or FastAPI when required Implement reliable ingestion patterns, including pagination, retries, and error handling Apply object-oriented programming principles to data and service development Continuous Improvement Maintain current knowledge of data engineering tools, frameworks, and best practices Recommend and implement improvements in pipeline reliability, scalability, and maintainability Standardize data engineering patterns, processes, and documentation Other Responsibilities Perform administrative, non-administrative, and other duties assigned by authorized company representatives through written or verbal instructions Join Emapta, recognized as one of HR Asia's Best Companies to Work For in Asia 2025 and winner of Inspiring Workplaces Australasia 2026. With a 50/50 gender ratio and a culture rooted in care and empathy, you'll feel valued from day one. We're committed to growing talent and setting you up for success. Be part of a team that showcases Filipino excellence to the world. With over 30 offices across 11 countries and 1,200+ clients, you'll create real impact every day-whether you work from home or on-site. Our 100% virtual recruitment process makes it easy to get started. At Emapta, you're not just joining a company-you're becoming part of a thriving community of 12,000+ professionals growing careers with purpose. And behind every partnership we build is a deep respect for people and the impact they make. "We place integrity at the heart of everything we do and truly value the human experience. That's why, for clients, it's a profound and transformational process that gives them the opportunity to achieve the business growth they desire." Tim Vorbach, CEO #EmaptaEra