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Build and maintain a scalable big-data platform on Azure Databricks using Spark, Scala, and Java, enabling teams to run analytics and regulatory workloads.
Senior Data Engineer builds and maintains Snowflake-based ETL/ELT pipelines, data models, and REST APIs to consolidate finance data for forecasting and reporting in a regulated biotech environment.
Build and maintain scalable data pipelines on Google Cloud Platform, focusing on BigQuery, Airflow, and Terraform to process and transform large datasets for analytics and ML.
Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Build and maintain a cloud-based big-data platform (Spark/Scala/Java) on Azure Databricks for valuation and risk analytics in a global finance team.
Build and maintain the ACQA big-data platform on Azure Databricks using Spark, Scala, Java, and Kubernetes to support valuation and risk systems for finance teams.
Builds and maintains scalable big-data pipelines on Azure Databricks and Apache Spark using Scala/Java, deploys them via CI/CD and Kubernetes, and ensures platform reliability.
Build and maintain a big-data platform on Azure Databricks using Spark, Scala, and Java to support valuation and risk services for a financial-insurance platform.
Builds and maintains scalable data pipelines for large language models in healthcare, transforming medical datasets and enabling model training/evaluation on Snowflake and AWS.
Designs and migrates enterprise data pipelines using Informatica and Microsoft Azure tools, blending ETL/ELT with cloud analytics and AI services.
Design and build ETL/ELT pipelines using Informatica and Microsoft Azure tools, migrating enterprise data to cloud-based Microsoft Fabric and integrating AI services like Azure OpenAI.
Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
Build and migrate enterprise data platforms to Microsoft Fabric, designing cloud-based analytics, pipelines, and governance for large-scale transformations.
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.
Design and maintain high-scale data pipelines processing billions of ad events daily, modernize legacy systems into cloud-native lakehouse architectures, and ensure low-latency, privacy-compliant data delivery for monetization and decisioning.
Designs and maintains high-scale data pipelines processing billions of ad events daily, modernizes legacy ad-tech systems into cloud-native lakehouse architectures, and ensures reliable, low-latency data delivery for monetization and analytics.
Senior Staff Data Engineer builds and optimizes high-throughput ad-tech pipelines processing billions of daily events, modernizing legacy systems into cloud-native lakehouse architectures.
Designs and maintains scalable data pipelines and a central data platform using Databricks and Snowflake to power analytics and AI/ML across the organization.
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Senior Data Engineer ensures banking data quality and regulatory compliance, maintains data lineage, and supports BCBS239 initiatives using SQL and governance frameworks.
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