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Builds and deploys production-grade AI workflows on enterprise data lakes, using BigQuery, Dataflow, and dbt to embed with large customers’ teams.
Lead a small team to design, build, and scale cloud-based data pipelines and platforms using Python, SQL, and tools like Airflow, Spark, and Snowflake for reliable, ML-ready data.
Build and deploy generative-AI features and agents using Python, LLMs, and cloud services; develop full-stack web apps with Django/Flask and CI/CD pipelines.
Build and maintain scalable ETL/ELT pipelines, optimize data warehouses, and deploy ML models on Google Cloud Platform using Python and SQL.
Build and optimize Stockbit’s data warehouse and pipelines on GCP, using Python, dbt, and SQL to enable reliable analytics and insights for the investment platform.
Designs and maintains data pipelines, warehouses, and lakes, ensuring data quality and performance while collaborating with analysts and engineers.
Senior Data Engineer builds and optimizes scalable data pipelines and ETL processes for HEINEKEN’s global data infrastructure, using Python, SQL, Azure, Databricks, and Kafka.
Analytics Engineer implements and manages digital analytics solutions using Adobe Analytics, Google Tag Manager, and JavaScript to track user behavior and optimize marketing campaigns.
Build and maintain Ebury’s analytics platform using Sigma, dbt, and BigQuery to empower data analysts with trusted, self-service insights and software-engineering best practices.
Build and maintain event-driven backend services on AWS using Node.js (TypeScript) and Python, designing reusable libraries and ensuring secure, scalable cloud infrastructure.
Build predictive models, dashboards, and analytics pipelines using Python/R, Databricks/Dataiku, and Power BI/Tableau/BigQuery/Snowflake to turn business data into actionable insights.
Builds and maintains data pipelines, defines metrics in a semantic layer, and partners with BI teams to ensure accurate, certified dashboards using tools like dbt, Snowflake, and Power BI.
Build and maintain DevRev’s AI-ready data platform, designing scalable pipelines and optimizing databases to power real-time insights and agentic actions for global teams.
Build and deploy scalable data-science infrastructure on GCP, owning ETL pipelines, models, and CI/CD while mentoring teams to drive business insights and innovation.
Senior Data Engineer builds and optimizes cloud data pipelines for financial services clients using Azure, Snowflake, and Databricks to support analytics and regulatory reporting.
Senior Data Analytics Engineer builds and maintains scalable ETL pipelines and data models in cloud warehouses, transforming raw enterprise data into clean, reliable assets for analytics and reporting.
Build and maintain scalable ETL pipelines and data models in Python/SQL, ensuring high-quality data for analytics and machine-learning use cases in ad-tech and travel marketing.
Build and maintain scalable data pipelines and infrastructure for a talent-cloud platform, enabling analytics and AI-driven features using Python, SQL, cloud services, and streaming tech.
Build and maintain scalable ELT pipelines and SQL-based data models in Snowflake using dbt to power Zendesk’s analytics and AI-enabled CX products.
Builds and maintains high-volume data pipelines and backend services at scale using Java, cloud infrastructure, and distributed processing tools like Apache Beam, Spark, and Kafka.
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