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Senior Data Engineer designing and building scalable data pipelines and transformation workflows using Databricks or Snowflake with dbt, following ELT and medallion architecture patterns for enterprise data platforms.
Design, build, and optimize scalable data pipelines on Google Cloud Platform, including data lakes, data warehouses, and ETL/ELT workflows orchestrated with Airflow or Cloud Composer.
Senior Data Engineer designing and building scalable GCP data pipelines, data lakes, and warehouses using BigQuery, Dataflow, Pub/Sub, Python, and SQL to enable data-driven decision-making.
At Emirates Group our Analytics Centre of Excellence ACoE is a centralized unit that provides data and analytics support to Emirates Group businesses This allows our businesses to make better decisions by using data…
Data Engineer building scalable ETL/ELT pipelines, data warehouses, and data lakes using Python, SQL, Apache Spark, Airflow, and cloud platforms (AWS/Azure/GCP) to power analytics and AI/ML products.
Senior developer building AI-enabled cybersecurity software for national security missions, primarily using Python with LLMs and data analytics, working directly with mission operators to prototype and deploy solutions.
Senior Data Engineer building and maintaining data platforms, pipelines, and management tools using Apache Airflow, AWS Glue, Spark, and various database technologies at a healthcare AI company.
Designs and scales AI-driven backend systems for real-time social media analytics, focusing on agentic workflows, LLM pipelines, and cloud infrastructure to deliver actionable insights.
Senior Data Engineer owning end-to-end BigQuery/dbt/Python data pipelines for B2B marketing clients at a digital agency, integrating CRM, ABM, and attribution data to support measurement and scoring programs.
Build and maintain the data and ML infrastructure for an AI-powered decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure government environment.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure, accredited environment.
Build and own the data platform powering trusted, petabyte-scale data for analytics, BI, and agentic workflows at a fintech leader.
Senior Data Engineer at AB InBev builds and maintains data pipelines for the BEES platform using Python, SQL, PySpark, and cloud services to support data ingestion, transformation, and compliance.
Designs and maintains data pipelines for a B2B commerce platform, using Python, PySpark, SQL, and cloud services like Azure to process and integrate large datasets.
Build and maintain data pipelines for a B2B e-commerce platform, using Python, SQL, PySpark/Scala, and cloud services to process and transform retail data.
The Data Pipeline & Analytics Engineer will design, build, and optimize scalable ETL/ELT pipelines and analytics-ready data models. The role involves using tools like Airflow, dbt, and Spark to ensure data quality and enable data-driven decision-making through dashboards.
Data Engineer building cloud data platforms on Azure using Spark, PySpark, Python, SQL, Airflow, Databricks, Git, and CI/CD.
Build and maintain the data infrastructure platform at a fintech company, deploying tools like Airflow and Flink and managing AWS storage services such as DynamoDB and RDS.
Builds and scales high-performance data pipelines and production-ready systems using Python, SQL, Databricks/PySpark, and modern data engineering practices.
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.
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