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Schedule: Monday to Friday (7:00AM - 4:00PM PHT) 2-3x per week onsite What will you do? Build and maintain scalable data pipelines and models Ensure data quality, integrity, and security Support project delivery and…
Senior Data SRE operating and improving Kubernetes-based data platforms (on-prem/AWS/GCP) using GitOps, observability tools, and supporting data workloads like Spark, Airflow, and ETL pipelines.
Senior engineer maintaining and improving Kubernetes-based data platforms across cloud and on-premise, using GitOps and DoEKS/AIoEKS to ensure reliability and observability.
AWS is seeking a Data Center Commissioning Engineer to join the team focusing on commissioning activities for AWS data centres and colocation facilities. You will contribute to scheduling, test script development, and…
Ring Electronics (Philippines) Co Inc. is seeking a seasoned Production Engineer to join our Cavite site. The role focuses on designing and implementing efficient production processes to maximise output, quality and…
Design and build enterprise data platforms—ETL/ELT pipelines, data lakes, and lakehouses—using Python, SQL, and Azure cloud services (Azure Data Factory, Databricks, Microsoft Fabric, Snowflake) within NNIT's AI Center of Excellence.
Builds and maintains Azure-based ELT pipelines and ML forecasting models (XGBoost, Prophet, ARIMA) to analyze HRIS data and predict workforce trends at scale.
Cloud Data Platform Engineer owning and scaling cloud infrastructure for data-intensive workloads, administering Databricks, and delivering CI/CD pipelines and Kubernetes deployments.
The Data Engineering Delivery Lead at Security Bank Corporation manages the Enterprise Data Services team, overseeing the delivery of scalable data solutions and coordinating between engineering, architecture, and platform teams within a banking environment.
Builds and maintains data pipelines, warehouses, and collection systems to enable AI/data science projects for clients, focusing on security, scalability, and cloud infrastructure (AWS/GCP/Azure).
The Engineering Consultant will build and maintain data collection, transformation, and storage systems, including ETL pipelines and data warehouses. The role involves working with SaaS and NGO clients while utilizing Python, SQL, Airflow, and cloud technologies.
NNIT is looking for a Data Engineer to design and maintain enterprise data platforms that support AI and analytics initiatives. The role involves collaborating with global teams to enable digital transformation through modern data infrastructure.
Designs and maintains enterprise-scale data solutions for MDM, cloud platforms, and analytics, focusing on Java, cloud architectures, and PySpark/SQL pipelines.
Senior Data Architect designing enterprise data architectures with Microsoft Data Factory and Data Fabric, leading data modeling, ETL/ELT processes, and data governance across cloud and on-prem environments.
Data Engineer designing and optimizing Azure cloud data solutions and pipelines, leveraging deep SQL development expertise in a nightshift, work-from-home role.
Data Analytics Engineer at MicroSourcing designing and delivering data solutions with a focus on automation, scalable data pipelines, and reusable code, while contributing to DevOps practices and data governance.
ETL Developer using SAP BODS to build data warehousing solutions, profile and map data, and support reporting with PowerBI or Tableau for business stakeholders.
Indra Group in the Philippines is seeking a Junior Datawarehouse Consultant to develop, optimize and maintain SQL, PL/SQL, PostgreSQL and shell scripts within our data integration workloads. You will design ETL…
The Data Engineer will build and maintain scalable data pipelines and models while ensuring data quality and security. The role requires proficiency in SQL, Python, and Snowflake, and involves a hybrid work schedule in Metro Manila.
The Data Engineer Solution Specialist will curate data assets and build scalable analytics solutions to provide actionable insights. This hybrid role involves collaborating with IT and business teams to maintain data quality and develop reports and visualizations.
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