Senior Data Engineer

Summary

Join dLocal, a global leader in payment processing, as a Data Engineer to contribute to the growth and improvement of our Business Intelligence platform. You will be responsible for sustaining and enhancing our BI platform, optimizing data pipelines, and ensuring data quality and consistency. This role requires collaboration with colleagues and a proactive approach to addressing future needs. dLocal offers a flexible, remote-first work environment with various benefits, including remote work options, flexible schedules, a referral bonus program, learning and development opportunities, language classes, a social budget, and unique opportunities like dLocal Houses.

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

Responsibilities

• Sustaining and improving our BI Platform
• Boost Amazon Redshift performance
• Design and build the Medallion Architecture in order to optimize data pipelines for different tiers (Bronze, Silver and Gold) to support efficient data processing and analysis
• Implement and maintain data pipelines, considering internal and external schemas, and ensuring data quality and consistency
• Detecting and correcting errors in our BI Platform and process in order to guarantee reliability
• Proactively addressing future BI Platform needs
• Develop and maintain data documentation of the BI Platform Architecture, processes, and procedures
• Ensure timeliness, resilience, availability and accessibility of data present in our BI Platform
• Evaluate and test new tools with a focus on efficiency, cost reduction and quality
• Remaining up-to-date with industry standards and technological advancements that will improve the quality of our deliverables
• Contribute to the definition of standards and best practices for the development of data solutions
• Work closely with the Data teams to provide better solutions
• Support the team with new tools adoption
• Support ad-hoc requests related with data extraction
• Work with leadership in defining the company's BI data strategy and in actions of Data Governance

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!