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Designs and builds custom software components using AWS Glue and cloud-based ETL pipelines, leading a team to deliver scalable data solutions in an agile environment.
Build and scale the data infrastructure that powers large language model training, fine-tuning, and retrieval-augmented generation at a national AI program in Singapore, using cloud tools and AI-assisted workflows.
Design and build scalable cloud data pipelines using Snowflake, AWS, Python and SQL to power real-time analytics and automation for millions of users.
Build and maintain data pipelines and warehouses using AWS and Snowflake, curating raw data into analytics-ready datasets for BI and reporting.
Lead a team to design, build, and optimize data pipelines and warehouses using Python, AWS, Spark, Kafka, SQL, Snowflake, and Databricks to deliver hyper-personalized marketing experiences at scale.
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to…
Build and maintain scalable cloud infrastructure and CI/CD pipelines for a data-driven SaaS platform, using Kubernetes, Terraform, and AWS/GCP services.
- 3+ years of data engineering experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - 1+ years of developing and operating…
- Experience programming with at least one software programming language - 1+ years of non-internship professional software development experience - 1+ years of non-internship design or architecture (design patterns,…
- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Experience in advanced SQL & ability to write complex queries from…
- Experience with AI/ML technologies - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience); 8+ years of experience in data engineering, data architecture,…
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design,…
- Bachelor's degree - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting…
Principal Software Engineer, Cloud Architecture Team: Software Engineering Location: Milpitas, California Commitment: Full-Time Workplace Type: hybrid Saviynt's AI-powered identity platform manages and governs…
Senior Data Engineer (EU, EMEA Remote) Department: 6100-Engineering Location: Europe Employment Type: FullTime SavvyMoney is a US based leading financial technology company. We provide integrated credit score and…
Principal Data Engineer (we have office locations in Cambridge, Leeds and London) Location: London, England, gb Company Description Genomics England is a global leader in enabling genomic medicine and research, focused…
Designs and maintains Snowflake-based data warehouses and ETL pipelines for a global fund administration firm, integrating Oracle databases and client-specific warehouses to support analytics and reporting.
Principal Software Engineer designing and building enterprise-scale data and recommendation systems using AWS, Java, Python, and modern cloud technologies to enhance customer experience in financial services.
Designs and maintains scalable, event-driven data pipelines in AWS using Kafka (MSK), AWS Glue, and Python to power a company-wide Operational Data Store.
Leads a team to build and maintain a cloud-native Master & Reference Data platform (MDM/RDM) using Kafka, AWS services, and microservices, ensuring trusted, scalable data across Aviva’s business domains.
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