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Builds and maintains dbt models to transform raw data into clean, reliable analytics in a data warehouse using SQL and software engineering best practices.
Build full-stack features with React/Next.js frontends and Node.js backends, connecting interfaces to server logic and deploying on AWS.
Architect and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and ensuring data reliability with Python, Airflow/Prefer/Dagster, and CI/CD.
Build and maintain robust data pipelines for IFRS 17 insurance analytics using Python, Pandas, and ETL workflows to ensure data quality and scalability.
Designs and maintains modern data architectures using Microsoft Fabric to build lakehouse and big-data pipelines that integrate and transform large datasets for data-driven decisions.
Build and maintain basic ETL pipelines and assist in creating BI dashboards using SQL and Python.
Build and maintain AWS-native data pipelines in Python to onboard and standardize client data, ensuring high availability and compliance.
Build and optimize scalable data pipelines and services for e-commerce platforms using Node.js, GCP, and Kubernetes to power analytics, personalization, and real-time systems.
Builds and modernizes a menu platform using TypeScript, Node.js, NestJS, and React, integrating AI-assisted development in an Agile workflow.
Senior Data Engineer builds and maintains financial-calculation data products and APIs to automate metrics and support decision-making in a fintech context.
Builds and maintains enterprise logistics and inventory systems using Java, JavaScript, React, Spring Boot, and RESTful APIs with cloud-native practices.
Design and run data pipelines from CRM sources to a Databricks-based warehouse using dbt and Airflow, with Python/PySpark in an AWS S3 data lake.
Build and maintain full-stack logistics software using Java, JavaScript, React, and Spring Boot to streamline inventory and supply-chain workflows for retail clients.
Build and maintain Azure-based data pipelines and Power BI dashboards for EY’s advisory clients, ensuring data quality and integration.
Build full-stack AI applications, integrating React front-ends with modular backend services while leading scalable infrastructure design in a remote-first setup.
Lead a team to design and maintain an S3-backed data lake and Airflow-based ETL pipelines for a marketing analytics platform, optimizing partitioning, file formats, and near-real-time processing.
Build and deploy full-stack AI platforms with frontend, APIs, data pipelines, and orchestration agents while collaborating closely with clients.
Senior Data Engineer at DiDi to maintain and optimize large-scale data pipelines, ensuring reliability and performance while solving ambiguous data issues across global teams.
Build Python data pipelines and ETL processes for a US-based proptech SaaS, then visualize insights in Tableau dashboards for clients and internal teams.
Build and maintain a data platform that acquires public data, transforms it into auditable datasets, and constructs regulatory indices with verifiable math and lineage.
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