Vagas remotas de AWS com elegibilidade clara.

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

• Senior
• AWS
• Docker
• Kubernetes
• +4

Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.

• Senior
• AWS
• Azure
• GCP
• +2

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 delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security

• Senior
• Java
• Python
• SQL
• +4

Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.

• Middle
• AWS
• Azure
• CI/CD
• +3

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +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

Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution

• Senior
• AWS
• CI/CD
• Python
• +2

Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment

• Middle
• AWS
• PostgreSQL
• SQL

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

• Middle
• AWS
• CI/CD
• Docker
• +7

Own Databricks production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across all production data flows

• Senior
• AWS
• Azure
• CI/CD
• +4

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

• Middle
• AWS
• Azure
• Python
• +2

Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)

• Senior
• AWS
• CI/CD
• Docker
• +3

Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads

• Senior
• AWS
• Azure
• GCP
• +3

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

Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to

• Senior
• AWS

Design and build scalable, well-tested DBT models.

• Senior
• AWS
• CI/CD
• Python
• +2

Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.

• Middle
• AWS
• Python
• Spark
• +1

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

(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

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

Design, develop, and maintain scalable data pipelines using modern distributed data processing platforms and cloud environments.

• Middle
• AWS
• Azure
• CI/CD
• +3