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A senior Azure Data Engineer (5–10 years' experience) designs and implements scalable data pipelines on Azure, collaborating with cross-functional teams while focusing on data quality and performance optimization. Core tech includes Azure data services, Python/Java/C#, and Docker/Kubernetes.
A data engineer who designs, develops, and maintains large-scale data pipelines and systems using Fabric, working with cross-functional teams to prioritize requirements, ensure data quality through validation and testing, and optimize workflows for performance.
Builds and optimizes large-scale data pipelines and ETL workflows for a utilities software company, working with Oracle, PostgreSQL, IBM DB2, and ClickHouse. Day to day involves SQL/PLSQL development, analytics-ready data modeling, Pentaho-based ETL, and integrating data across HES/MDMS, billing, ERP, and IoT systems.
Lead Data Engineer building ETL data pipelines that pull from flat files, databases, and APIs using Spark, Hive, and Scala. The role involves Python/Pandas data transformation, advanced SQL, Airflow pipeline orchestration, and BI dashboards in tools like Power BI, Tableau, or Looker.
Xurpas is hiring a data engineering subject-matter expert to lead and optimize data pipelines, manage team initiatives, and uphold data quality and documentation best practices across projects. The hands-on core stack is Databricks, Python, ETL tools, and cloud-based data warehousing.
Design, build, and maintain Databricks-based data pipelines and ETL processes, ensuring data quality and migrating data across systems, working from Accenture's Cebu office in the Philippines.
A data engineer at Indegene designs and optimizes scalable data pipelines using AWS Glue and Snowflake, building robust data models and ensuring data quality, governance, and security across Lakehouse architectures while collaborating with product owners, analytics teams, and business stakeholders to enable advanced analytics and reporting for pharma clients.
V2 Solutions is hiring a platform data engineer in Negros Occidental, Philippines, to design, deploy, and operate large-scale production Kubernetes clusters. Day to day involves building observability with OpenTelemetry, running reliable data workflows in Airflow, and automating tooling with Python and Bash.
A senior associate-level Azure Data Engineer in the Data and Analytics practice designs, builds, and maintains data pipelines, integrations, and transformations on Azure. Day-to-day work centers on Azure Data Factory, Synapse Analytics, Databricks, and Azure Data Lake migrations using SQL, Python, and PySpark.
Cognite is hiring a software engineer with 3–6 years of experience in Negros Occidental, Philippines, to build scalable backend systems and data platforms that process large volumes of industrial data. Day-to-day work spans distributed systems, data processing, cloud infrastructure, and backend services, delivered with Product Managers and cross-functional teams.
Senior Hadoop Administrator & Data Engineer who runs and tunes production Hadoop clusters (HDFS, YARN, Hive, Spark) via Ambari on Linux — handling capacity planning, upgrades, access control, retention, and monitoring — while supporting Airflow/AWS MWAA pipelines as the escalation point for infrastructure failures.
A senior engineer (5-10 years) designs, builds, and maintains large-scale data pipelines using Azure Data Factory and related Azure services, implements data quality and validation checks, optimizes workflows for performance and scalability, and troubleshoots existing pipelines. Core tech includes Azure, Python/Java/C#, Docker, Kubernetes, and Git.
A data engineer at Accenture's Manila office who designs, develops, and maintains data solutions, builds data pipelines, and implements ETL processes using Snowflake, with a focus on data quality, governance, and cross-functional collaboration.
Designs and maintains large-scale data pipelines using PySpark on distributed platforms like Hadoop/Hive and cloud storage, with a focus on data quality, ETL/ELT workflow design, and Spark performance tuning, while automating workflows with tools such as Airflow or Oozie.
Target is hiring a Senior Data Engineer to design, develop, and optimize large-scale data platforms and pipelines, covering ingestion, transformation, storage, processing, quality, and consumption. The core stack is Big Data tooling — Apache Spark, Scala, and Google BigQuery — working alongside engineers, product teams, data scientists, and business partners.
A Data Platform Engineer specializing in Palantir Foundry who designs and blueprints Accenture's data platform, ensuring components integrate cohesively. Day to day they model data and systems alongside Integration Architects and Data Architects, working from a Manila office in a hands-on, SME-focused environment.
Senior Data Engineer at Mastercard who develops, tests, and supports large-scale batch and real-time data platforms built on Apache Spark, Kafka, and NiFi. Day-to-day work involves building resilient distributed data pipelines, validating workflows, optimizing performance, and ensuring operational excellence in cloud and hybrid production environments.
V2 Solutions is hiring a Lead Data Engineer in Negros Occidental, Philippines to architect scalable data infrastructure: leading and mentoring a team of data engineers, defining technical roadmaps, and ensuring reliable data pipelines that power analytics and data products.
Senior Data Engineer at Tech One Global (Muntinlupa, hybrid) who architects and optimizes data pipelines on Azure, leads end-to-end design of scalable, secure data solutions, drives data governance, mentors junior engineers, and partners with analytics and ML teams.
Associate-level Data Platform Engineer (posted via Unchain Data for BlackRock) who designs, builds, tests, deploys and maintains an enterprise data platform, refining requirements and delivering scalable pipelines with cross-team collaboration. Core stack: SQL, Python, Snowflake and Airflow, on a hybrid work model in Negros Occidental, Philippines.
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