Roles & responsibilities Contribute to the development of data ingestion, transformation, and integration pipelines on Azure Support the implementation of ETL/ELT workflows using Azure Data Factory, Synapse, Databricks, and other Azure-native services Participate in building and maintaining data lakes,
Experience: 4 to 15 years (Consultant / Assistant Manager / Manager) Location: Makati - Hybrid Key Responsibilities: - Design, build, and maintain data infrastructure for organizations using Azure cloud services - Create data pipelines, integrate data from various sources,
We’re Hiring: Azure Data Engineer Work Where People Matter • At Tech Mahindra Philippines, we’re more than just a BPO — we’re a Certified Great Place to Work® where your growth and well-being come first. With thriving
The Role The MIS and Data Insights Analyst is responsible for data reporting requirements from various units of Retail Banking Segment. This includes MIS reports, monitoring reports, volume and count summary reports of specific data requirements.Interpretation of and insights
Azure Data Engineer About the Role We are seeking a highly skilled Azure Data Engineer to join our growing data and analytics team. In this role, you will design, develop, and maintain scalable, automated data pipelines and data products that support
Makati City | Hybrid (3 Days Onsite) Dayshift About the Role We are looking for a Data Engineer to support a new enterprise data initiative focused on data ingestion, migration, curation, and modernization. The role involves designing, building, and
Job Responsibilities: Assist in building data ingestion, transformation, and integration pipelines using Azure data engineering tool sDevelop basic ETL/ELT components under the guidance of senior team member sSupport the creation and maintenance of data lakes, data warehouses, and analytical dataset
Makati City | Hybrid (3 Days Onsite) Dayshift About the Role We are looking for a Data Engineer to support a new enterprise data initiative focused on data ingestion, migration, curation, and modernization. The role involves designing, building, and
Job Description: Design, develop, and maintain ETL pipelines using Informatica, Azure Data Factory (ADF), and Databricks Perform migration of legacy ETL workflows (Informatica) to Databricks using Python/PySpark Analyze existing ETL workflows and re-engineer into optimized Spark-based transformations Develop
As a BI Developer, you will be working to support our client’s transformation mission, focused on building, maintaining, and supporting solutions for professional and DIY builders in the Nordic region. You should have in-depth knowledge and
Position Summary The Applied AI Engineer designs and builds intelligent services and agentic workflows that sit on top of the cloud, data, and application stack. This role creates production-ready solutions for ranking, summarization, retrieval, classification, recommendation, and