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Builds and maintains GCP-based data pipelines and collaborates on data solutions using SQL, Python, and GCP tools.
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Builds APIs and data pipelines, contributes to analytics and admin tools using Python, SQL, and cloud tech.
Builds and maintains ETL pipelines, deploys ML models to production, and monitors data flows and model performance using Python, SQL, and Azure.
Build and maintain Azure and Databricks cloud data pipelines, transform data with SQL and PySpark, and collaborate on scalable data solutions in a hands-on GenAI/LLM environment.
Senior Data Engineer builds and maintains a high-performance market data platform, processing billions of records to feed real-time trading and analytics systems using Python, SQL, and Parquet.
Design and maintain Azure Data Factory pipelines, orchestrating ETL/ELT workflows and optimizing warehouse layers (Azure SQL/Synapse) for enterprise clients.
Builds and optimizes Snowflake data models and ETL pipelines in Python to process large volumes of real-estate data for a global services provider.
Leads a team of data engineers to design and implement complex data pipelines using SQL Server SSIS, Active Batch, T-SQL, and Go Anywhere, while mentoring junior engineers and ensuring project delivery.
Leads a team of data engineers to build and maintain data pipelines and warehouses using SQL Server SSIS, T-SQL, and Go Anywhere for a utilities-focused agency.
Designs and builds scalable data pipelines and real-time analytics infrastructure for AI-driven solutions, collaborating with data scientists on innovative projects.
Build and maintain big-data pipelines for European air-traffic systems using Databricks, Spark, Kafka, and Oracle; ensure data quality and industrialize production environments.
Build and optimize cloud data pipelines on GCP and BigQuery using Python and Spark to ingest and process data from edge devices for analytics.
Design and build Snowflake data models and ETL pipelines using dbt and Data Vault, then optimize SQL for reliable analytics in a fully remote role.
Build and maintain cloud-based data pipelines and AI solutions for public-sector clients using Python, SQL, DBT, and Looker.
Oversee data engineering teams and build secure, scalable data solutions for a gaming-payments platform using SQL Server, PowerBI, and cloud databases.
Build and maintain high-volume data processing pipelines using Java and Apache Spark, ensuring scalability and performance for a global analytics platform.
Leads hybrid data-engineering initiatives, building cloud data platforms and collaborating with AI teams to deliver GenAI solutions across industries.
Designs and maintains ETL pipelines for compliance using DataStage and Python, ensuring data accuracy and regulatory adherence.
Manage Azure data pipelines, ETL processes, and Power BI reporting to deliver analytics for healthcare distribution teams, ensuring data quality and governance.
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