Vagas remotas de Snowflake com elegibilidade clara.

Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.

• Senior
• AWS
• CI/CD
• PostgreSQL
• +3

, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.

• Senior
• AWS
• Azure
• CI/CD
• +5

(functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives Profile data to assess the accuracy and completeness of data sources and work with business

• Middle
• AWS
• Azure
• CI/CD
• +3

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.

• Middle
• AWS
• CI/CD
• Docker
• +7

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

• Senior
• AWS
• Azure
• CI/CD
• +3

Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation

• Middle
• Azure
• Snowflake
• SQL

Design and build scalable, secure, and cost-effective data solutions in Snowflake.

• Senior
• AWS
• Azure
• GCP
• +3

You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly

• Python
• Salesforce
• Snowflake
• +2

Build, maintain and improve the enterprise data warehouse. Monitor & improve performance, implement patches and upgrades, minimize database downtime and manage parameters to provide fast query responses.

• Junior
• Python
• Snowflake
• SQL

Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.

• Middle
• AWS
• Azure
• GCP
• +3

Put Patients First

• Middle
• AWS
• Azure
• GCP
• +4

Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions.

• Senior
• AWS
• Python
• Snowflake
• +1

Support partner onboarding into clean room environments across platforms such as Snowflake, LiveRamp, Databricks, or similar technologies.

• Senior
• Python
• Snowflake
• SQL

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

• Senior
• Python
• Snowflake
• SQL

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.

• Lead
• AWS
• Azure
• GCP
• +5

Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.

• Lead
• AWS
• Azure
• GCP
• +5

Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, implement, and optimize data pipelines that extract, transform, and load data into Snowflake from multiple sources using Airflow and AWS services

• Senior
• AWS
• Snowflake
• SQL

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Developing & maintaining ETL/ELT pipelines

• Senior
• CI/CD
• Python
• Snowflake
• +1

Take ownership of undefined problems — dig in, scope the work, and ship solutions, whether that's a pipeline, a dashboard, a tracking implementation, or something we haven't thought of yet

• Middle
• GCP
• LLM
• Python
• +4

Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.

• Senior
• CI/CD
• GCP
• Python
• +3

Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.

• Senior
• AWS
• LLM
• Python
• +3

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• Senior
• AWS
• Docker
• Kubernetes
• +4

Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient

• Senior
• AWS
• Azure
• CI/CD
• +9

Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture

• Senior
• AWS
• Azure
• GCP
• +5

Participate in cross-functional meetings to define project objectives and scope.

• Senior
• Java
• JavaScript
• MongoDB
• +6

Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.

• Senior
• AWS
• Python
• Snowflake

Take ownership of end-to-end data engineering projects.

• Senior
• AWS
• Docker
• Python
• +2

Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.

• Senior
• AWS
• Azure
• Python
• +3

Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings

• Senior
• CI/CD
• Docker
• Kubernetes
• +4

Evolve and streamline Wurl’s data ETL processes, Business Intelligence dashboards (internal and external) enhancement, data workflows (with emphasis on scale, security, maintainability, and validation), data warehousing processes

• Senior
• AWS
• CI/CD
• Python
• +2

Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies

• Senior
• AWS
• Azure
• Docker
• +6

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform.

• Senior
• CI/CD
• Python
• Snowflake
• +1

Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources

• Senior
• AWS
• MongoDB
• Python
• +3

Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

• Senior
• AWS
• Azure
• CI/CD
• +3

Design and build scalable, well-tested DBT models.

• Senior
• AWS
• CI/CD
• Python
• +2

Create, develop, maintain, and leverage data pipelines, data models, reporting, and dashboards to solve business problems or assigned tasks in coordination with multiple teams.

• Senior
• GCP
• Snowflake
• SQL

Al menos 3 años de experiencia laboral.

• Middle
• Azure
• Snowflake
• SQL

are the core components of our service offerings. With a balanced view of strategy, people, process and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies

• Senior
• AWS
• Azure
• Snowflake

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

Strong hands-on experience with Azure Data Factory.

• Senior
• Azure
• CI/CD
• Snowflake
• +1