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Build and maintain data quality frameworks and pipelines, enforcing standards across systems and mentoring teams to ensure reliable enterprise data.
Design and maintain data quality frameworks, rules, and automated checks to ensure enterprise data accuracy and reliability across systems.
Build and maintain scalable data pipelines and lakehouse architectures to collect, process, and govern audio and vehicle telemetry for ML training and in-cabin personalization in automotive infotainment systems.
Lead BI/Data Engineer builds data pipelines, warehouses, and dashboards in SQL, Python, and Snowflake to deliver business insights and enable advanced analytics for Fortune 500 clients.
Builds and maintains data pipelines and ingestion frameworks in a data lake, using Databricks/Spark and SQL to support Power BI reporting and ensure regulatory compliance.
Builds and maintains data pipelines and ETL workflows in a data lake, using Databricks, Spark, and SQL to ingest and transform structured, semi-structured, and unstructured data for reporting.
Build AI/ML models to optimize water and wastewater treatment, using predictive analytics and digital twins to improve efficiency and maintenance.
Senior Data Scientist builds fraud-detection models and analyzes patterns to protect financial transactions using machine learning and statistical techniques.
Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Designs and builds AI-driven finance automation systems, including agentic AI for workflows and ML models for forecasting, while setting technical standards and governance for Finance.
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Spark, and cloud platforms like Azure or AWS.
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Build core features for an AI-native accounting platform, integrating LLMs and financial systems while writing production code in a fast-paced startup.
Leads full-stack development with Node.js/React, Supabase, and AWS while owning CI/CD, AI-driven workflows, and mentoring engineers.
Build and lead a full-stack system using Node.js (NestJS/Express), React, Supabase, and AWS, while integrating AI tools for coding, testing, and automation in an edtech environment.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and deploy ML models to detect retail crime patterns, match suspects, and analyze video evidence for global retail clients using Python, computer vision, and cloud pipelines.
Build and own a production-grade Azure Data Fabric that integrates semantic financial data models, data pipelines, and validation services to power AI, automation, and business-critical services across multiple countries.
Build and own a scalable Azure-based data platform for Staria’s Intelligent Automation team, integrating financial data pipelines, semantic models, and AI-driven services to automate and validate cross-country ERP workflows.
Build and deploy AI features in a regulated bank’s Snowflake environment, integrating LLMs and Cortex for data insights, engineering tooling, and Streamlit self-service apps.
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