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Lead a team to build and optimize Databricks-based ETL/ELT pipelines using Python/SQL, Delta Lake, and cloud platforms (Azure/AWS/GCP) for large-scale data processing.
Lead a Databricks-based data engineering team to build and optimize ETL/ELT pipelines, Delta Lake tables, and cloud data warehouses using Python, SQL, and Azure/AWS/GCP.
Design, build, and automate predictive models and reporting pipelines using Databricks and Azure to support global data-driven decisions.
Senior Data Engineer builds scalable Google Cloud data platforms (BigQuery, pipelines) to enable clients’ data-driven decisions, using SQL/Python and modern warehousing concepts.
Builds and maintains Python-based data pipelines and cloud platforms (Databricks/Snowflake) while collaborating with ML teams and traveling up to 10% for client engagements.
Design and maintain Snowflake data pipelines for AI/ML initiatives, ensuring data integrity and security while collaborating with cross-functional teams.
Build and scale Straumann’s AI data infrastructure, focusing on a Data Lakehouse, dataset versioning (DVC), and reliable pipelines that power dental AI products.
Build and deploy ML models and data pipelines for a financial-services client’s new AI practice using Python, Spark, Hadoop, and SQL.
Senior Data Engineer builds and optimizes Spark applications on Azure/Databricks using Python, enforcing coding standards and collaborating with cross-functional teams to deliver scalable data pipelines.
Lead a team building scalable data pipelines and platforms for enterprises using Spark, Airflow, and cloud tech to process terabytes of streaming and batch data for analytics and ML.
Build and optimize large-scale data pipelines for automotive and aerospace clients using Spark, Airflow, and cloud platforms to enable real-time analytics and ML-driven insights.
Design and build large-scale data pipelines and systems to process billions of ad requests daily, using Java/Scala/Python, Spark, and BigQuery on GCP/AWS.
Design and build scalable data pipelines, Data Lakes, and DWHs using BigQuery, Kafka, Airflow, and Kubernetes, with exposure to GenAI integrations.
Design and build big-data pipelines to process millions of healthcare records using Databricks, Spark, and Azure, ensuring data quality and performance for clinical research.
Build and optimize large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring scalable, secure data processing for enterprise clients.
Build and maintain Mettler Toledo’s data platform, creating scalable pipelines and ensuring high-quality data flows for analytics and AI/ML using Databricks, Snowflake, and Python.
Senior Data Engineer builds and optimizes scalable data infrastructure on Azure Databricks and Spark, automating pipelines and workflows with Python, SQL, and CI/CD.
Builds data pipelines, ETL/ELT processes, and full-stack web apps in Python/SQL with React or Angular; maintains time-series databases and Databricks/Spark clusters; sets up real-time monitoring and dashboards.
Senior Data Engineer/ML Engineer builds and deploys ML models and pipelines in a banking context using Python, Spark, and AWS services like SageMaker and Glue.
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