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Build and maintain data pipelines and cross-platform ML models using TensorFlow and PyTorch to process public and customer data for AI training and backend integration.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to ensure high-quality data for analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Build and maintain large-scale data pipelines and models in Azure or AWS, integrating with Power BI and automating processes using Python or R.
Build and optimize Snowflake-based data products using dbt; design schemas and pipelines in a cloud-native environment.
Builds and maintains data pipelines on Databricks using Spark, Hadoop, Python, and SQL, with exposure to cloud platforms like AWS, Azure, or GCP.
Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Build end-to-end data pipelines and self-service dashboards that turn raw data into actionable business insights using SQL, Power BI, and optionally Python or Talend.
Design and build scalable, AI-ready data pipelines using Spark, Kafka, and cloud platforms (AWS/GCP) to power GenAI models and analytics for enterprise clients.
Senior Data Engineer builds scalable data pipelines and AI solutions for Nexans’ digital transformation, leveraging Python, Databricks, and cloud platforms to enable measurable business impact.
Senior Data Engineer builds and optimizes Databricks and Azure pipelines for a major retail company, using Python and SQL to process large-scale data and support AI-driven projects.
Design and build modern data pipelines and architectures using Azure Fabric for a digital transformation consultancy.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
Design and build scalable payment data models and cloud-native ELT pipelines for a fintech platform handling cards, ACH, wallets, and cash payments.
Build and optimize event-driven data pipelines on GCP for a client, using Python, Airflow, BigQuery, and DataForm to support a new CRM integration.
Build and optimize data pipelines and feeds, integrate AI agents for SQL querying, and collaborate with analysts on data use cases using Python, SQL, and modern ETL tools.
Builds and maintains automated test suites and CI/CD pipelines for a high-traffic e-commerce platform, ensuring fast, reliable deployments with Kubernetes.
Build and maintain ETL/ELT pipelines, model data warehouses/lakes, and advise clients on data strategy using Python, DBT, and cloud platforms like Snowflake.
Build and maintain data pipelines on Microsoft Azure and Fabric, using PySpark, Python, and SQL to move and transform customer data for analytics and BI solutions.
Build and maintain the AI platform, orchestrate LLM inference workloads, and automate deployments for a company delivering AI/ML services.
Design, deploy and maintain DevOps tooling and CI/CD pipelines for a data-management company, using Linux, VMware, KVM and security hardening.
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