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Data Engineer - MRF05447
Designs and builds data pipelines to ingest, process, and store structured and unstructured data using cloud and on-prem tools like Spark, Kafka, and HDFS.
Senior Data AI Engineer
Designs and maintains scalable data pipelines and warehouses (e.g., Fabric, Databricks) to collect, store, and analyze data for analytics and ML, using SQL, Python, and cloud platforms.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable ETL pipelines in Azure for Manulife’s data warehouse, integrating diverse sources and ensuring data quality and governance.
Lead, Data Engineer
Lead a team to design, build, and maintain data pipelines and warehouses for a leading fintech app, ensuring reliable data flow and quality for analytics and reporting.
Microsoft Fabric Data Engineer
Designs and builds scalable data pipelines and ETL processes using Microsoft Fabric to enable analytics and business intelligence across the organization.
Data Engineer (PH)
Build and maintain scalable ETL pipelines and real-time data systems on AWS and Databricks for a regulated crypto exchange serving 18M+ users.
Senior Data Engineer
Build and scale data pipelines using Spark, Python/Scala, and cloud platforms (Azure/AWS) to power client solutions.
Data Engineer (PH)
Build and maintain scalable data pipelines and real-time processing systems for a regulated crypto exchange using AWS, Databricks, Spark, and Kafka.
Data Engineer (pooling)
Design and maintain scalable data pipelines and ETL/ELT processes using SQL, Spark, Airflow, and Python/Java/Scala to integrate and optimize data for analytics.
Data Engineering Lead - AI-Driven Data Infra (Azure/Databricks)
Lead the build-out of AI-driven data infrastructure on Azure/Databricks, ensuring reliable pipelines for analytics and ML workloads using Spark/Scala.
Streaming Data Engineer
Build end-to-end streaming data pipelines using Kafka, Flink, Spark Streaming and cloud services to process real-time data and deliver low-latency insights for enterprise clients.
Data Engineer
Designs resilient, scalable data pipelines and products using Azure, SQL, Spark, and CI/CD to transform and deliver data for analytics and architecture.
Data Engineer
Build and scale data pipelines on Databricks and AWS, designing robust ETL/ELT workflows with Apache Spark to power analytics and decision-making.
Senior Data Architect - Azure Synapse & Data Engineering
Design and optimize Azure Synapse data pipelines and star schemas, tune performance, and build ingestion workflows using ADF and PolyBase for analytics workloads.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to collect, process, and analyze data for an iGaming company using Java/Scala, SQL/NoSQL, and Spark.
Senior Data Engineer
Build and optimize data pipelines using Microsoft Fabric, SQL Server, and Dynamics 365 to integrate and transform large datasets, then deliver insights via Power BI dashboards for business stakeholders.
Data Engineer - Databricks
Build and migrate ETL/ELT pipelines to Databricks on AWS, using Spark, Delta Lake, and AWS Glue to process batch and streaming data for a global fund-services provider.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Data Engineer
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Data Engineer
Designs and maintains data pipelines and systems using SQL, Spark, Python, and Azure tools to process and analyze raw data for business insights.