Vagas remotas de SQL com elegibilidade clara.

Design and Execute Test Cases: Create detailed, well-structured test plans and cases based on product requirements and acceptance criteria.

Design and Execute Test Cases: Create detailed, well-structured test plans and cases based on product requirements and acceptance criteria.

Design software applications and features in Golang and React

Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse

Manage a team of engineers with full accountability for their performance, growth, and wellbeing

Microsoft Azure

Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Design and develop robust, scalable data pipelines using Azure Data Factory (ADF)

Model a rich and expansive domain. You’ll design and implement data models for every facet of the post-production domain, as well as powerful systems to keep the Frame.io application efficient and stable.

Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives

Own and improve the reliability, scalability, and day-to-day operability of our production platform.

Designing and evolving the architecture of our data warehouse and data platform

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Own and build the ingestion layer. Design, deploy, and scale pipelines that pull from third-party APIs, internal services, and SaaS tools into BigQuery. Add new sources as the business demands.

Hybrid Work Options

Motivated by designing scalable data platforms that serve hundreds of stakeholders.

Lead the design and evolution of scalable data architectures, supporting batch, streaming, and AI-driven workloads.

Design and implement core backend services and data pipelines.

Collaborate with cross-functional teams to enhance and maintain software solutions for financial processes.