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Build and optimize scalable data pipelines and generative-AI systems for Amgen’s manufacturing knowledge layers, using PySpark, Databricks, vector stores, and LLMs.
Build and lead enterprise software solutions using React, FastAPI, Python, and AWS, integrating AI/ML and DevSecOps practices for a global biotech company.
Translate manufacturing and data needs into clear requirements for analytics and reporting systems, working with SMEs and delivery teams to define user stories, KPIs, and test scenarios in an Agile environment.
Build and maintain high-volume data pipelines between Snowflake and Databricks using PySpark and dbt, then deploy ML models on OpenShift with MLOps tooling like MLflow and Airflow.
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
Build, maintain, and scale enterprise web apps and services using Java, Spring, JavaScript, and databases for a global fintech data provider.
Build and maintain production MLOps frameworks and pipelines in Python for enterprise-scale machine learning systems at a major bank.
Build and maintain scalable data pipelines in Palantir Foundry using Python, PySpark, and TypeScript to transform public health data into dashboards and insights for government clients.
Designs, deploys and optimizes cloud data platforms and AI solutions for customers, using OCI/AWS/Azure, Spark, Kubernetes and generative AI tools.
About us: Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer…
Build and optimize ETL pipelines and dashboards for Citi’s internal reporting framework using PySpark, Databricks, and Snowflake to automate billing and deliver business insights.
Build and deploy ML forecasting models (Prophet, ARIMA, LSTM) to predict clinic usage and staffing needs for a UK healthcare network, using Python, PySpark, and cloud tools.
Full-stack developer building backend services and middleware with Solr/Elasticsearch, big-data tools (Hadoop, PySpark), and Java.
Leads AWS data platform architecture for financial services (banking, wealth, insurance), optimizing performance, security, and scalability with AWS Glue, PySpark, Python, and Redshift.
Build and maintain scalable ETL/ELT pipelines using Python, PySpark, and Databricks to integrate and process data for Varonis’s cybersecurity platform.
Build and deploy production-grade AI/ML models for an e-commerce platform, focusing on scalable pipelines, MLOps, and customer analytics.
Builds and maintains scalable data models, ELT pipelines, and semantic layers to power analytics and BI for cross-functional teams.
Build and maintain scalable data platforms on Azure/Databricks to support climate-neutrality initiatives, focusing on PySpark pipelines and CI/CD.
Build and maintain scalable data pipelines for a fashion/home e-commerce brand using PySpark, Databricks, and Azure cloud services.
Principal software engineer building scalable analytics tools in Java/Python to operationalize data science for government clients, collaborating with data scientists and analysts.
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