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Inżynier/Inżynierka DevOps
Wynagrodzenie B2B: 11000 – 19000 PLN / mies. netto umowa o pracę: 11000 – 19000 PLN / mies. brutto W Redge Technologies tworzymy innowacyjne rozwiązania w obszarze wideo streamingu oraz cyberbezpieczeństwa. Należymy do…
.NET Developer
Wynagrodzenie B2B: 1100 – 1350 PLN / dzień netto Kogo szukamy? Szukamy doświadczonego .NET Developera , który dołączy do zespołu Capital Markets – Risk . Osoba na tym stanowisku będzie odpowiedzialna za rozwój i…
Full Stack Developer
Full stack developer role in Kolkata (2-7 years experience) building and maintaining web applications end to end: front-end with HTML5/CSS3/ES6+ JavaScript and frameworks like React/Next.js/Vue/Angular, and back-end with Python (Django/Flask), REST/GraphQL APIs, and SQL/NoSQL databases.
IT Support Specialist
Wynagrodzenie umowa zlecenie: 6850 – 8317 PLN / mies. brutto IT & Systems Specialist\ Wspieraj technologię, która napędza Alvernia Planet. Alvernia Planet to jedno z najbardziej niezwykłych miejsc rozrywkowo-filmowych…
Systems Analyst (3D Data Engineer)
Data engineer at Singapore's Urban Redevelopment Authority (URBEX/DPLab) building and maintaining automated pipelines that ingest, transform, and integrate 2D/3D geospatial data (GIS, BIM, CAD) to power urban planning apps, visualisation, and analytics, using Python, SQL, and ArcGIS tooling.
Lead Data Engineer
Lead Data Engineer at Great Eastern (an insurer) in Singapore, on the Data Foundation team designing and building enterprise data ingestion, transformation, and data quality pipelines. Daily work centers on Hadoop/Cloudera big data marts and Spark/PySpark/SQL pipelines supporting analytics, reporting, regulatory, and AI use cases.
Senior Data Engineer
Senior Data Engineer (via IT staffing firm Sciente International) in Singapore to design, build, and maintain on-premise data pipelines and lakehouse architecture for a Data & Analytics team. Core stack: SQL Server, Python, PySpark, Kubernetes/Docker, Airflow, plus NoSQL databases and optionally Kafka/Flink streaming.
Software Engineer (Java)
Java software engineer at NCS (an AI tech services firm and Singtel subsidiary) in Singapore who designs, builds, and maintains application modules in Java, writes unit tests, troubleshoots production issues, and documents systems. Suited to candidates with 1-4 years of experience in Java-related technologies.
Software Engineer
Designs, develops, tests, and deploys scalable software at Frencken in Changi North, Singapore — debugging defects, doing code reviews, and maintaining technical documentation while supporting releases. Requires Python or C#, SDLC knowledge, databases/APIs/version control, and hands-on AI tooling like Copilot, ChatGPT, or Claude.
Data Engineer II - Snowflake and DBT
Data Engineer II at First Citizens India's Bengaluru GCC (hybrid) designing and building ETL/ELT pipelines for the bank's enterprise data warehouse, which supports regulatory reporting, finance, risk, and Customer 360. Core stack: Snowflake, DBT, AWS (S3, Lambda, Glue), Python, SQL, and Airflow.
FullStack Developer
Full-stack developer (3-5 yrs) in Coimbatore building and optimizing scalable web applications on the MERN stack — React frontends with Node.js/Express backends and MongoDB — including microservices, REST APIs, and event-driven workflows via Kafka/RabbitMQ, with Git, CI/CD, and AWS in an Agile team.
Full Stack Developer
Designs, builds, and maintains scalable web applications end to end: React.js/Next.js/TypeScript frontends, Node.js/PHP/Laravel backends, MySQL/MongoDB databases, and REST APIs, with deployment on AWS. AI integration and DevOps/CI-CD practices are a plus; 4-5 years of full stack experience required.
SAP Full Stack Developer
Design and build end-to-end SAP applications — ABAP RAP backend services, CDS views, OData integrations, and BTP/ABAP Cloud — plus responsive SAP Fiori/UI5 frontends, at an AI-driven SAP and Generative AI consulting firm. Full-time, on-site/hybrid role in Hyderabad for candidates with 3-6 years of experience.
Data Scientist (Face Biometrics)
Develop and improve face biometric technologies, focusing on machine learning algorithms for authentication, liveness detection, and fraud prevention using Python/C++ and deep learning frameworks like PyTorch or TensorFlow.