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Build and maintain ETL/ELT pipelines and data governance for a global finance data warehouse and lakehouse using Microsoft Fabric, Spark, SQL, and Python.
Designs and builds scalable data pipelines and analytics platforms on Azure Databricks, Synapse Analytics, and Microsoft Fabric to power enterprise reporting and AI/ML workloads.
Senior Data Platform Engineer builds Lunar's self-service analytics platform, Hubble, using Flink/Spark streaming, Terraform, and Kubernetes to ingest and process real-time data for scalable analytics.
Position Summary Reports to: Director, Polling & Analytics Location: Washington, DC (Hybrid) Status: Full-time, Exempt; The Hub is a unionized workplace and is represented by the Nonprofit Professional Employees…
Designs and builds modern data platforms, including data warehouses, lakes, and lakehouses, using tools like Microsoft Fabric and Databricks.
Senior Full Stack Integration Engineer builds and maintains enterprise APIs, microservices, and middleware using Azure .NET, APIM, and MuleSoft, while collaborating on cloud-native integrations and DevOps pipelines.
(What the role is) A hands-on technical role responsible for designing, building, and maintaining the data pipelines and infrastructure that power IMDA's Data Platforms. The role sits at the intersection of data…
Design and build scalable data warehouse systems, ETL pipelines, and data models to power Plaud’s AI-driven productivity tools using SQL, Python, and big-data tech like Spark and Snowflake.
Position Overview We are hiring a potential Data Engineer for our Data management division to contirubute to one of the largest data platforms (TRUST) Role & Responsibilities Develop TRUST data strategy: Work with…
Designs and maintains data pipelines and infrastructure using Azure Databricks, Python, and Spark to support analytics and ML models for a global logistics company.
Design and maintain compliant data pipelines for AI productivity tools, focusing on data masking, anonymization, and regional regulatory adherence.
Designs and builds data pipelines, warehouses, and ETL workflows using Python, PySpark, Hive, and Cloudera to feed analytics and reporting tools like Tableau.
Build and maintain AWS-based data pipelines and Redshift warehouses, writing Python/SQL and automating with GitLab CI/CD and Terraform.
Build and optimize enterprise data pipelines, models, and reporting solutions using SQL, Python, Spark, and ETL tools to power analytics and dashboards.
Design and maintain ETL pipelines with PowerCenter, optimize PL/SQL for Oracle, and build enterprise data warehouses while ensuring data quality and governance.
Design and build scalable data pipelines on Microsoft Azure and Microsoft Fabric using Apache Spark to process and analyze large datasets for a product-focused tech consultancy.
Build and maintain Tableau dashboards and reports to help Oliver Wyman’s leadership make data-driven decisions, using SQL, ETL, and BI tools.
Build and optimize enterprise data platforms on Microsoft Azure, designing data lakes, warehouses, and ETL pipelines to power analytics and AI for clients.
Designs and builds scalable data platforms on Google Cloud Platform, focusing on Data Lakes, warehouses, and governance for modern analytics.
Builds and optimizes cloud-based data pipelines and analytics platforms on AWS, focusing on scalable ETL/ELT, data lakes, and warehouses.
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