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Design, build, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, performance-tune BigQuery SQL, integrate/migrate data, and collaborate with teams to operationalize data workflows.

Design, build, and maintain ETL/data pipelines and data warehousing solutions on GCP (BigQuery). Ensure data quality, performance tuning, cloud-native integration, and collaborate with cross-functional teams to deliver analytics-ready data.

Design, build and maintain ETL pipelines and data solutions using GCP data platform (BigQuery, Dataflow, Pub/Sub). Ensure data quality, performance-tune BigQuery SQL, automate CI/CD, and collaborate with cross-functional teams to deliver scalable data integration and migration solutions.

Design, develop, and maintain ETL/data pipelines and cloud-native data solutions (BigQuery, Airflow, Python). Ensure data quality, perform performance tuning, support data migrations, and collaborate with cross-functional teams while working shift B.

As an Application Lead, you will design, build, and configure applications while leading collaboration and strategic planning to meet project milestones.

Design, build, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, optimize BigQuery performance, migrate data across systems, and collaborate with stakeholders to support analytics and modeling.

Develop and configure custom software solutions using Stibo PIM. Lead design and build efforts, implement complex workflows, event processing, and REST integrations, collaborate with teams, and ensure scalable, high-performing applications while following agile practices.

Act as an Application Support Engineer (SME) to troubleshoot and resolve issues across critical business systems, collaborate with cross-functional teams, monitor system performance, lead and make team decisions, and drive knowledge sharing and continuous improvement.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes to deploy data across systems.

Design, build, and maintain data pipelines and ETL processes using GCP services and Airflow; ensure data quality, migrate data across systems, optimize BigQuery performance, and collaborate with cross-functional teams to support analytics and decision-making.