dLocal
dLocal is a payment solutions platform that connects global merchants with consumers in emerging markets. The company offers a variety of services including payins, payouts, and real-time fraud management to enhance payment processes for businesses. As a Nasdaq-listed company, dLocal supports transactions in over 40 countries, enabling local payment methods and currencies for billions of emerging market consumers. dLocal’s platform simplifies cross-border payments, providing a comprehensive solution for eCommerce, shared economy, digital media, financial services, and more, with an emphasis on high-growth markets such as Africa, Asia, and Latin America.
Payment Processing • Emerging Markets • Latin America • Brazil • Alternative payment methods
Senior Data Engineer
March 21
dLocal
dLocal is a payment solutions platform that connects global merchants with consumers in emerging markets. The company offers a variety of services including payins, payouts, and real-time fraud management to enhance payment processes for businesses. As a Nasdaq-listed company, dLocal supports transactions in over 40 countries, enabling local payment methods and currencies for billions of emerging market consumers. dLocal’s platform simplifies cross-border payments, providing a comprehensive solution for eCommerce, shared economy, digital media, financial services, and more, with an emphasis on high-growth markets such as Africa, Asia, and Latin America.
Payment Processing • Emerging Markets • Latin America • Brazil • Alternative payment methods
📋 Description
• dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. • Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. • Join an amazing global team in a flexible, remote-first dynamic culture with benefits. • Seeking an accountable, multitalented Data Engineer to facilitate operations and improve our BI platform.
🎯 Requirements
• Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field • Proven experience as a Data Engineer, Data Platform Engineering or similar • Proficiency in SQL and Python and one or more programming languages (Java, C++, etc.) • Strong knowledge of Amazon Redshift optimization/tuning techniques • Familiarity with Hadoop or suitable equivalent • Strong analytical and problem-solving skills • Experience in Big Data tools and platforms, such as Hadoop, Spark, Docker, Kubernetes, EKS, Terraform and DevOps CI/CD • Background in big data solutions within cloud infrastructures such as AWS, Azure Cloud, Google Cloud • Experience with data warehousing tools such as Redshift • Experience with AWS (Lambda, EKS, EC2, Spark (EMR), S3, DynamoDB, Glue, Athena, AWS Cost Monitoring) • Solid knowledge of process orchestration tools such as Airflow • Knowledge of transformation tools DBT (Data Build Tool), Pentaho Data Integration • Ability to work independently • Team player • Excellent communication (written and spoken English) and collaboration skills
🏖️ Benefits
• Remote work: work from anywhere or one of our offices around the globe!* • Flexibility: we have flexible schedules and we are driven by performance. • Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity. • Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded. • Learning & development: get access to a Premium Coursera subscription. • Language classes: we provide free English, Spanish, or Portuguese classes. • Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections! • dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
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