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Designs and builds scalable data pipelines, optimizes Snowflake schemas, and enforces DataOps with CI/CD, Docker, and automated testing in Python.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps with Airflow/Prefer/Dagster.
Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
Design and maintain scalable data pipelines, cloud data lakes/warehouses, and ETL workflows using Python, Spark, and Airflow to support analytics and ML across AWS/GCP/Azure.
Senior Data Engineer builds and scales ETL/ELT pipelines, optimizes Snowflake schemas, and implements DataOps workflows using Airflow/Prefect/Dagster in Python.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Senior Data Engineer builds and scales a modern data platform with ETL/ELT pipelines, Snowflake schemas, and DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Build and maintain Bowtie’s data warehouse, ELT pipelines, and BI dashboards to power insurance analytics and regulatory reporting, while laying the groundwork for predictive analytics and AI integrations.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
Build and maintain data pipelines for product information systems, integrating and governing data for e-commerce platforms using cloud tools like Azure and AWS.
Build and maintain CI/CD pipelines and cloud-based data workflows for inertial positioning algorithms, converting MATLAB code to C and automating validation and deployment for robotics and autonomous systems.
Build and operate open-source data platforms using Python, Spark, and Kubernetes, focusing on pipelines, orchestration, and data quality for AI-driven analytics.
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
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