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A Data Platform Engineer who designs and develops data platform components, ensuring seamless integration across various systems. Works with architects and stakeholders to align data models and platform blueprints, facilitating efficient data flow and accessibility using Salesforce CRM Analytics.
Design, build, and maintain scalable ETL/ELT pipelines, data models, and analytics solutions on cloud platforms using Snowflake, IICS/CDI-PC, and Power BI.
Data Engineer at Accenture Philippines designing and maintaining data pipelines and ETL processes using Databricks, ensuring data quality and collaborating with teams to support data-driven decision-making.
Design and build scalable Azure-based data platforms and integration solutions, owning the end-to-end data lifecycle from ingestion to delivery while ensuring quality and governance.
Data engineer building enterprise BI solutions—scalable data pipelines, data stores, and dashboards—while planning cloud migrations from legacy systems with a focus on automation, standardization, and data governance.
Senior Data Engineer building and optimizing batch and streaming data pipelines on GCP (BigQuery, Dataflow, Cloud Composer) using SQL and Python/Java, onsite in Manila with a shifting schedule.
Design, build, and maintain the full analytics stack—data pipelines, data models, and dashboards—driving enterprise decisions at a bank in a hybrid role based in Taguig.
Lead a data engineering team designing and building scalable Azure-based data solutions, overseeing data pipelines, ETL processes, and data warehousing with Python, SQL, and Scala while ensuring quality, compliance, and best practices.
Analytics Engineer at Maya Bank designing and developing data products, focusing on feature stores and data pipelines, and collaborating with Data Scientists to prepare training data.
Senior Data Engineering Architect designing and overseeing data architecture, ETL pipelines, and big data frameworks using Python, PySpark, SQL, and cloud platforms (AWS/GCP/Azure) in Manila.
Lead a team of data engineers delivering scalable data solutions on Azure and Databricks using Python, SQL, ETL, data warehousing, governance, and QA practices.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes while collaborating with cross-functional teams to support analytics. The role requires proficiency in SQL, Python/Java/Scala, and data processing frameworks like Spark or Airflow.
The Data Engineer will design and implement data ingestion processes, storage systems, and ETL pipelines to manage investment data. The role involves collaborating with business units and IT to ensure data quality and governance using technologies like Python, SQL, and Azure.
Position Overview Data Engineer - Full-Time, Onsite, Metro Manila, Philippines Job Description We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes.…
The Data Engineer will design and manage scalable ETL pipelines, data ingestion, and governance frameworks using Python, SQL, and Azure cloud services. The role involves collaborating with vendors to ensure data quality and traceability within the Risk and Quantitative team.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence. The role requires proficiency in SQL, Python/Java/Scala, and data processing frameworks like Spark or Airflow.
The Senior Data Engineer will design data architectures, build scalable pipelines, and optimize storage using Python, SQL, and Google Cloud Platform. The role involves performance monitoring and mentoring junior team members.
The Data Engineer will design and maintain scalable data pipelines and ETL/ELT processes using Databricks, Python, and Azure Data Factory. The role involves collaborating with cross-functional teams to ensure data quality and accessibility for business analytics.
The Data Engineer designs, develops, and maintains data pipelines and ETL processes using the Databricks Unified Data Analytics Platform. The role involves leading team efforts, optimizing data workflows, and collaborating with stakeholders to ensure high-quality data solutions.
The Data Engineer will design and maintain scalable data pipelines and integrate data from various sources to support decision-making. The role requires proficiency in Python and SQL and is based on-site in Metro Manila.
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