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Mid-level iOS Engineer builds and maintains analytics/event tracking in ASOS’s Swift-based iPhone/iPad app, ensuring data quality and supporting experimentation across 8M+ users.
Build and scale ETL/ELT pipelines in PySpark and SQL, model enterprise data, and ensure quality and lineage for downstream analytics at a large IT consultancy.
Build and maintain web platforms and DevOps pipelines for intelligent public transportation systems using Node.js, TypeScript, Docker, and Ansible.
Mid-level Python developer builds and optimizes Flask-based financial systems on AWS for a fintech client.
Mid-level software engineer builds and maintains telecom systems using Java and Angular in a hybrid role for European clients, collaborating across time zones.
Builds and maintains telecom software systems using Java for backend and Angular for frontend in a hybrid work model.
Build and maintain enterprise-scale data pipelines using Azure Synapse and Databricks, integrating large datasets and supporting Power BI reporting.
Builds and maintains a logistics and mobility platform using Node.js, React, GraphQL, and AI tools like Claude Code to develop features, fix bugs, and integrate external services.
Build and maintain cloud-based data pipelines and warehouses using SQL, Python, Snowflake, and AWS to power analytics and reporting for clients.
Builds and maintains a logistics-and-mobility platform using Node.js, React, and GraphQL while collaborating with senior engineers on a codebase with complex business rules.
Builds and maintains data pipelines, transforms raw data into usable formats, and automates workflows using Python and SQL.
Data Engineer to migrate and govern data assets from BigQuery Sandbox to a managed Google Cloud Platform environment, building reliable ETL/ELT pipelines.
Build and migrate a cloud-native AI-driven edtech platform using NestJS/Python backend and React frontend, with Azure/AWS infrastructure and Jenkins CI/CD.
Builds scalable web apps with Java and React in agile teams, delivering user-focused solutions while collaborating on high-performance systems.
Build and maintain ETL/ELT pipelines using Databricks, Snowflake, or Informatica to integrate data into cloud warehouses, optimizing performance and troubleshooting issues in a managed-services environment.
Develops, debugs, and maintains business applications using .NET, SQL Server, and IIS; designs databases and troubleshoots issues.
Builds and maintains data platforms and AI-driven insights for enterprise clients, working with large datasets and collaborating across teams.
Designs and builds scalable data pipelines and workflows in a collaborative team, writing clean, maintainable code to deliver high-quality data solutions.
Builds and maintains real-time data pipelines and databases using SQL and Python to power analytics that guide business strategy.
Design and maintain scalable ETL pipelines using Databricks, Python, and SQL to ensure reliable data solutions in a cloud environment.
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