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Designs and maintains scalable data pipelines and models for BEES, a digital platform under AB InBev, using cloud services, Python, PySpark, and SQL to support analytics and business decisions.
Designs and builds data pipelines to power a B2B e-commerce personalization engine for a global brewer’s tech division, using cloud data tools and SQL.
Build and scale large-scale data pipelines and platforms for an AI-powered e-commerce discovery engine, using Spark, Kafka, Flink, and GCP to power personalization, recommendations, and ML systems.
Lead the design and delivery of real-time data pipelines and backend microservices for InMobi’s DSP, processing billions of bid-stream events daily to power bidding intelligence, audience targeting, and campaign analytics using Python/Java/Scala, Kafka/Flink, StarRocks, and Kubernetes.
Build and maintain data pipelines, models, and integrations on SAP HANA, SAP Datasphere, AWS, and Snowflake to support regulated payments and e-money reporting for a travel platform.
The Data and DevOps Engineer will design, automate, and maintain data workflows and business intelligence solutions using tools like Apache Airflow, Spark, and SQL. The role involves translating business needs into technical specifications, creating visualizations, and managing database systems.
The Senior Data Engineer will design and implement data models and ETL pipelines using Azure Data Factory, Databricks, and Python to support financial data management. The role involves collaborating with cross-functional teams to ensure data quality and performance within an international Scrum environment.
Designs and builds a greenfield enterprise data warehouse on Google BigQuery, consolidating fragmented systems (ERP, CRM, e-commerce, EDI, etc.) into a governed, decision-ready foundation for MRCOOL’s HVAC business. Focuses on ELT pipelines, data governance, AI enablement, and executive reporting.
Builds and maintains end-to-end data pipelines (dbt, Python, Airflow) and Power BI dashboards, bridging engineering and analytics to deliver production-ready solutions.
Design, build, and optimize scalable Snowflake data pipelines and multi-cloud solutions (AWS, Azure, GCP) for a pharmaceutical client, using DBT, Python, Tableau, and Terraform.
Designs and builds cloud-based data platforms (warehouses, lakes) using Azure tools, ensuring data quality, governance, and seamless ETL pipelines while collaborating with stakeholders to modernize legacy systems and support AI/ML use cases in sectors like retail, manufacturing, and finance.
Data Engineer building and maintaining ELT pipelines and data warehouses using AWS (S3, Redshift), dbt, Airflow, and SQL.
SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision-making across the organization's global operations. This is a…
The Data Engineer will build and maintain data models and ELT pipelines using Google BigQuery, dbt, and Python to support the agency's analytics and reporting. This role involves transforming advertising and content data into governed datasets and requires working on-site in Omaha.
Designs and maintains cloud-based data pipelines (Bronze/Silver/Gold layers) using ELT, SQL, and BigQuery to ingest, transform, and optimize data for a global marketplace platform. Focuses on orchestration (Airflow), data quality, and integrations with downstream systems while collaborating on schema evolution and CI/CD deployments.
Designs and maintains cloud-based data pipelines (Bronze/Silver/Gold) using SQL/ELT patterns in BigQuery, orchestrating workflows with Airflow while ensuring data quality, governance, and integration with downstream systems for a global marketplace platform.
Leads technical strategy and engineering excellence for Medibank’s enterprise data platforms, focusing on Databricks, AI/ML enablement, and DataOps to drive scalable, secure data solutions for healthcare analytics and customer experiences.
Designs and maintains scalable data pipelines and warehouses, integrating diverse sources to enable analytics and reporting using Python, SQL, and cloud tools.
A Senior Analytics Engineer designing and maintaining data systems using dimensional modeling, semantic layers, and self-service reporting for clients, while mentoring analysts and collaborating with data engineers and scientists on a remote-first Canadian team.
The Senior Data Platform Engineer will design and evolve scalable logging infrastructure and data pipelines to support security observability at Clio. The role involves architecting ELK/OpenSearch clusters, managing petabyte-scale storage, and implementing Infrastructure as Code within a hybrid cloud environment.
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