Data Engineer

🌐 GlobalRemote

Posted Apr 13, 2026

Data Engineer

Important Information

Location: BGC, Makati

Experience: min 4-6 years

Job Mode: Contract (subject for regularization)

Work Mode: 2x a week Onsite

 

Responsibilities and Duties

  • Design and develop data pipelines that will ingest the data from the respective source systems into the data warehouse
  • Support and optimize existing data pipelines to ensure that the downstream SLAs are met
  • Responsible in attending agile ceremonies as part of the Agile Tribe set-up and delivering the different demands of the Tribe related to data ingestions to the data warehouse platform
  • Ensures data quality within the data warehouse tables
  • Ensures the data engineering standards and practices are followed like code version history, readability, functionality, extendibility, test runs, deployments, and post deployment support
  • Supports L2 Data Operations team and act as L3 support
  • Manage data storage, computing unit requirements, and data security within the data warehouse
  • Gather data requirements coming from Tribe demands
  • Supports other data engineers on other Tribes or domains if necessary
  • Demonstrate technical excellence when it comes to the data warehouse platform
  • Supports stakeholders of the data warehouse platform by solving data related issues and conducting data investigations

 

Qualifications

  • Bachelor's degree in computer science, information management, or a related field.
  • Strong SQL and ETL development experience, preferably related to Data Warehousing, Business Intelligence, or other Data Delivery projects.
  • Proficiency in optimizing data pipelines in order to meet SLA requirements and save cost
  • Experience in Big Data, Hadoop, EMR, Hive, and cloud environments is a plus
  • Proficiency in Python, R, Java, Scala is a plus
  • Proficiency in data modeling, data integrations, data quality, and data architecture is a plus
  • AWS data integrations (Glue, Athena)
  • Spark, Databricks
  • Delta lake, Data Lake
  • Kafka, Confluent, Real-time processing, Data Streaming

 

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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