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Full Stack Developer Python, Snowflake, Angular (AWS) Tampa or Coppell, TX Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry:…
Database Engineer Full-time, direct employment Hybrid onsite/remote - Newark, NJ No visa sponsorship or C2C at this time Job Description: Our client is seeking a highly skilled Database Engineer to join their team. The…
Data Engineer (Fixed Income Capital Markets) Full-time, direct employment Hybrid onsite/remote - Newark, NJ No visa sponsorship or C2C at this time Job Description: Our client is seeking a skilled and experienced Data…
As a Technical Architect in Snowflake's Professional Services Organization, this role involves leading data modernization projects, migrating customers from legacy platforms to Snowflake's cloud data platform, designing lakehouse architectures using Iceberg, implementing data pipelines with Apache NiFi, and guiding customers on AI/ML integration and optimization.
Design, build, and optimize Snowflake-based data pipelines and warehouses, model data with best practices, and collaborate with analysts and scientists to deliver reliable analytics infrastructure.
Staff Software Engineer on the Data Platform team at Pantheon, extending the data platform to surface insights in the product experience and power ML/LLM-driven insights using technologies like Python, Airflow, Kubernetes, Snowflake, Google Cloud Platform, Docker, and Terraform.
Designs and maintains scalable data pipelines, lakes, and warehouses for RBC’s Market Risk ecosystem, ensuring high-quality data assets and business intelligence. Focuses on Java/Scala, big data tools, and cross-functional collaboration to drive technical innovation and compliance.
Accenture in the Philippines is hiring a data engineer to design, develop and maintain data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement…
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy…
Job Description: Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to…
Na CI&T , ajudamos grandes empresas a transformar o potencial da AI em impacto real nos negócios com AI Deployment, execução AI-native e tech-integrated business solutions. Com 30 anos de experiência em…
Job Description: Employer: DWS Group Title: Senior Data Engineer - Snowflake Location: Madrid Job Code: placeholder for LinkedIn job wrapping About DWS: Today, markets face a whole new set of pressures – but also a…
The Senior Data Engineer plays a critical role in the successful execution of Allied’s Data Strategy. This role will be focused on data acquisition, curation, and transformation of data into a useable asset. They will…
Builds and optimizes Snowflake-based data pipelines and automation for a global investment firm’s analytics platform, ensuring scalability, security, and cross-region performance while collaborating with engineers and analysts.
Designs and builds Snowflake-based data platforms using Snowpark (Scala/Java/Python) to integrate, warehouse, and share data for enterprise clients.
Design and oversee Snowflake-based data architectures and migrations, using Snowpark and SQL to optimize enterprise data solutions and client engagements.
Build and maintain a governed, AI-ready data lakehouse (Databricks/Snowflake) that unifies SAP, POS, IoT, and unstructured data for analytics, ML, and GenAI use cases.
Build and maintain a financial analytics platform using FastAPI, Snowflake, and Python, designing scalable microservices and Snowpark-based data pipelines for embedded finance.
Build and migrate a new Snowflake data warehouse and dbt pipelines for a mental-health platform, designing star schemas and Medallion-architecture models to power analytics and reporting.
Design and build scalable cloud data pipelines in Snowflake and Azure, using dbt, Airflow, Python, Docker and Kubernetes to power enterprise analytics and decision-making.
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