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Build and scale data pipelines for a digital health startup using cloud tech, IoT, and AI to create personalized patient solutions.
Build and lead the data engineering function for a healthcare tech platform, designing scalable warehouses and ETL/ELT pipelines to ingest and process health data.
Senior Data Engineer builds and maintains Azure-based data pipelines, Power BI reports, and AI solutions for clients, troubleshooting issues and mentoring junior team members.
Build and optimize ETL/ELT pipelines in Databricks using Python and SQL to support BI reporting for a BPO client.
Build and maintain scalable data pipelines and ETLs using Spark, Python/Scala, and cloud platforms (Azure/AWS) to power client solutions.
Build and enhance NetSuite SuiteApps for invoice data capture and approvals automation using SuiteCloud.
Design and build scalable, cloud-native data pipelines and data-lake architectures on AWS using S3, Glue, Redshift, and Kinesis.
Senior Data Engineer designs and builds scalable Google Cloud data pipelines and BigQuery medallion architectures, optimizing ingestion and analytics for client teams.
Lead the build-out of a Redshift-based analytics platform, migrating PostgreSQL workloads and optimizing performance for fast, auditable, and scalable reporting.
Design AI evaluation frameworks, improve LLM training data quality, and analyze failure trends for a global remote team.
Builds and maintains data platforms and AI-driven insights for enterprise clients, working with large datasets and collaborating across teams.
Build and optimize scalable Snowflake-based data pipelines, own data models and governance, and integrate cloud-native apps while collaborating across North and Latin America teams.
Senior Data Engineer builds and scales BigQuery/dbt pipelines and BI dashboards to deliver analytics-ready datasets for reporting and insights.
Design and maintain large-scale data pipelines and Redshift infrastructure to integrate raw data sources with analytical systems, ensuring data quality and reliability for data-driven decisions.
Designs scalable Delta Lake data architectures with ACID transactions and time-travel queries, building ETL/ELT pipelines using Spark and Parquet storage.
Design and maintain SAP-native data pipelines for enterprise analytics, integrating ECC/S/4HANA with BW/4HANA, Datasphere, and HANA to build automated ETL/ELT workflows.
Designs and scales a finance data warehouse, integrating NetSuite, Salesforce, and billing systems to deliver analytics-ready data for reporting and AI initiatives.
Senior Data Engineer builds a cloud-based Lakehouse platform on AWS and GCP, owning data ingestion, dbt transformations, and Airflow orchestration for payment, marketing, and operational analytics.
Build and run evaluation frameworks to test and improve AI model accuracy and safety using Python/SQL.
Build and deploy large-scale AI solutions for enterprise customers, using Python/C++ and cloud platforms, while collaborating with cross-functional teams to solve complex business problems.
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