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Senior Data Engineer builds and maintains data pipelines, cleans and processes complex datasets, and designs ETL/ELT workflows using Python, SQL, and AWS tools to power Presight’s GenAI-driven analytics platform.
Senior Data Engineer builds and maintains scalable data pipelines and platforms for logistics analytics, ensuring reliability, security, and performance for reporting and advanced use cases.
Build and maintain data-cleansing pipelines and quality checks using Python, SSIS, Microsoft Fabric, and Power BI to ensure accurate, reliable enterprise data for reporting and analytics.
Designs and builds scalable real-time data pipelines on Azure to feed analytics and BI, ensuring high data quality and availability for cross-team use.
Build and maintain data pipelines, automate integrations, and help scale a cloud data warehouse for a grid-scale energy storage company using Python, SQL, and cloud services.
Build and maintain reliable data pipelines for a global fintech, powering trading decisions, compliance, and AI systems with real-time accuracy and governance.
Build and maintain data pipelines, warehouses, and BI dashboards for a global retail rewards platform, turning marketing, CRM, and sales data into actionable insights.
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Lead a team to design, build, and maintain a reliable data platform using Databricks, DBT, and Airflow for analytics and self-service BI across the GAC Group.
Builds and maintains scalable data pipelines using Databricks, dbt, AWS services, and Python/Java to support secure, mission-driven solutions for federal agencies.
Build and maintain scalable data pipelines and warehouse models that power analytics, AI, and customer-facing products in a modern data stack.
Designs and maintains cloud-based data warehouses (Redshift/BigQuery/Snowflake) and builds ML pipelines using Python, Airflow, and cloud services (AWS/GCP/Azure/Oracle).
Designs and builds scalable big-data pipelines using Spark, Hadoop, and Kafka, primarily in Java/Scala/Python, on AWS or Azure.
Designs and builds real-time data pipelines on Google Cloud, integrating BigQuery and collaborating with analysts to deliver scalable data solutions.
Build and deploy AI agents and copilots using Microsoft AI Foundry and Fabric, integrating RAG patterns with enterprise data to accelerate AI use cases for a logistics-focused enterprise.
Engineer race-car telemetry systems, processing real-time data from GT races using tools like Bosch WinDarab and MoTeC i2.
Builds real-time security data pipelines and cyber data lakes for a UAE SOC, integrating SIEM/SOAR feeds and threat intelligence to power incident response and compliance reporting.
Design and build scalable big-data pipelines using Spark, Hadoop, and Kafka to process and deliver actionable insights for a tech company in the UAE.
Designs and optimizes Google Cloud data pipelines and BigQuery solutions for clients, working with cross-functional teams to process and analyze data efficiently.
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