Design, optimize, and maintain robust and scalable data pipelines on AWS cloud.
Plan and execute migration of systems and data volumes to new cloud infrastructure.
Collaborate with multidisciplinary teams to implement efficient data solutions and ensure data governance.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they collaborate to build solutions with real impact.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Design, build, and maintain robust ETL/ELT processes for modern Data Lake architectures.
Write and optimize complex SQL queries using Python and PySpark for large-scale distributed data processing.
Collaborate with cross-functional teams to ensure data governance, quality, and observability across cloud-native platforms.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, we are 8,000 CI&Ters across more than 25 countries.
Develop, adjust, and evolve data pipelines using Databricks and PySpark.
Analyze processes migrated from legacy systems (SAS, Hive, Teradata) and make necessary adjustments.
Identify bottlenecks and implement performance improvements and optimizations in pipelines and large-scale data processing.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, we accelerate innovation through expertise in agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
Build and maintain scalable, efficient data pipelines using PySpark and distributed processing frameworks.
Migrate legacy processes to modern cloud-based architectures on AWS, optimizing performance and governance.
Collaborate with product teams and data analysts to implement data quality monitoring, dashboards, and large-scale data ingestion flows.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees in 32 countries, we foster an inclusive, people-centered culture recognized as a World's Best Workplace.
Design and build scalable data pipelines using Apache Spark and cloud technologies.
Develop and maintain data integrations and transformation processes from multiple sources.
Collaborate with technical teams to ensure data quality and optimize data architecture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on using technology to streamline the hiring process and offer a remote work environment.
Develop and maintain data pipelines for data ingestion, transformation, and processing using Python and SQL.
Collaborate with Data Engineers, Analysts, and global stakeholders to deliver effective data solutions.
Apply modern data engineering practices, including Git, CI/CD, and cloud platforms like Azure and Databricks.
They partner with global clients to deliver large-scale digital transformation initiatives through data solutions. They foster a remote, multicultural environment emphasizing technical growth, collaboration, and continuous improvement.
Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
Design and deliver complex data platform components or migration solutions on AWS using Databricks.
Troubleshoot performance, scalability, and reliability issues in cloud-native data environments.
Communicate technical topics clearly to stakeholders and produce high-quality documentation.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As a fully remote global company with employees in Canada, the United States, and Latin America, they celebrate diverse cultures and foster a community of technological curiosity.
Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.
Design and maintain data pipelines on AWS using Spark, Python, and SQL.
Orchestrate workflows with Airflow, containerize with Docker and ECS.
Collaborate within agile teams to deliver high-quality data solutions.
Devoteam is a leading European consulting firm focused on digital strategy, technology platforms, cybersecurity, and business transformation through technology. With over 10,000 employees across 20 countries in Europe, the Middle East, and Africa, they foster a close-knit professional culture.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.
Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.
Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting and assessment operations via its NodeZero platform. They are a team of former special ops and engineers, committed to a culture of respect, collaboration, ownership, and results.
Structure, integrate, and maintain scalable data solutions for credit origination, monitoring, and risk analysis.
Build and evolve the credit analytics layer including datamarts, indicators, and reusable components.
Implement data quality, governance, and observability controls while ensuring compliance with LGPD.
Jobgether is an AI-powered recruitment platform that connects candidates with job opportunities using an objective matching process. It operates with a small team, focusing on efficiency, fairness, and data privacy.
Design, build, and maintain scalable data pipelines using Python and AWS DynamoDB.
Develop and optimize DynamoDB data models and indexing strategies for high throughput.
Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities.
Design and implement a petabyte-scale AWS data platform using advanced engineering and cloud-native practices.
Build and optimize highly scalable data pipelines using JVM languages, Spark, and Python for production-ready data processing.
Act as a principal-level technical leader, mentoring engineers and driving architectural decisions to guide platform evolution.
Experian is a global data and technology company that powers opportunities for people and businesses around the world. With 25,200 employees across 32 countries, they have a people-centric, inclusive culture recognized as a World's Best Workplace.