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Microsoft Fabric Data Engineer
Builds and scales a Microsoft Fabric-based data lakehouse, creating ETL pipelines, semantic models, and Power BI reports to support enterprise analytics and AI initiatives.
Microsoft Fabric Data Engineer - Philippines
Designs and builds enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads.
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
Senior Data Engineer building a secure Lakehouse (Iceberg) with NebulaGraph for complex relationships, scalable ETL/ELT pipelines (Spark/Python), and real-time streaming (Kafka/Airflow).
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.
Senior Data Engineer
Builds and maintains scalable data pipelines and lakehouse architectures to feed AI/ML workloads and analytics, using Spark, SQL, Python, and cloud services like AWS.
Senior PySpark Data Engineer - GCP & Data Pipelines
Builds and maintains PySpark data pipelines on GCP, using BigQuery and Dataproc to process large datasets with Python and SQL.
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.
Data Engineer I
Build and scale enterprise data infrastructure using Azure, Databricks, and Python to power analytics and AI across the firm.
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
Build and optimize ETL pipelines, migrate big-data jobs, and integrate data from sources to targets using Spark, SQL, and visualization tools like PowerBI/Tableau.
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.
Data Engineer
Builds and maintains data pipelines and real-time apps on AWS using Spark, Presto, and EMR; designs data platforms and integrates BI tools like Tableau and PowerBI.
Data Engineer
Senior Data Engineer builds and maintains scalable Azure data pipelines and products using Data Factory, Synapse, Databricks, and Fabric to support analytics and reporting.
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
Design and maintain Azure Fabric data pipelines (Bronze–Silver–Gold) to transform raw data into analytics-ready datasets for Power BI Embedded reports.
Data Engineer: Cloud Pipelines & ETL for Growth
Build and maintain scalable cloud data pipelines and ETL processes using Python, SQL, and tools like Spark, Airflow, and Databricks across AWS, Azure, and Google Cloud.