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Senior Business Intelligence Engineer

Why should you join dLocal?

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. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. 


By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.


What’s the opportunity? 


We are searching for an accountable, multitalented Business Intelligence with a focus on Data Analytics engineering to facilitate the operations of our data solutions. This position will be responsible for sustaining and improving our Business Intelligence platform, performance, scalability and processes. During various

aspects of this process, you should collaborate with coworkers to ensure that your approach

meets the needs of each request.


What will I be doing?
  • 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


What skills do I need?
  • 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


What do we offer?


Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

- 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!


*For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required



What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!


Also, you can check out our webpageLinkedinInstagram, and Youtube for more about dLocal!

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Average salary estimate

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What You Should Know About Senior Business Intelligence Engineer, Dlocal

Are you ready to embark on an exciting journey with dLocal as a Senior Business Intelligence Engineer? At dLocal, we empower the world’s largest companies to seamlessly process payments across 40 emerging market countries. Our team thrives on tackling challenges and innovating solutions that simplify payment expansion. As a vital part of this dynamic, remote-first environment, you’ll collaborate with a diverse group of over 1000 talented individuals from more than 30 nations. Your role as a Senior Business Intelligence Engineer involves enhancing our BI platform, optimizing performance, and ensuring data quality. You’ll design and implement the Medallion Architecture and maintain robust data pipelines. Collaborating closely with data teams, you’ll also focus on aligning BI strategies with company goals, propelling our mission to facilitate payment solutions that touch millions of lives daily. Your expertise in SQL, Python, and Amazon Redshift will be pivotal in sustaining and improving our processes, ensuring reliability, and addressing future needs. Beyond this, we offer exceptional benefits to foster your growth and creativity, including a flexible schedule, a premium learning platform, and social initiatives to strengthen team bonds. Dive into the fintech landscape with dLocal, where your contributions will drive impactful changes in the global payment ecosystem.

Frequently Asked Questions (FAQs) for Senior Business Intelligence Engineer Role at Dlocal
What are the responsibilities of a Senior Business Intelligence Engineer at dLocal?

As a Senior Business Intelligence Engineer at dLocal, you'll be responsible for sustaining and enhancing our BI platform, optimizing performance through strategies like Amazon Redshift tuning, and implementing the Medallion Architecture to streamline data processing. Additionally, you'll work collaboratively with various teams to ensure data reliability and quality, address ad-hoc data extraction requests, and contribute to the company's BI data strategy.

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What skills are required to become a Senior Business Intelligence Engineer at dLocal?

To succeed as a Senior Business Intelligence Engineer at dLocal, candidates should possess a bachelor's degree in Data Engineering or a related field, combined with proven experience in data engineering roles. Proficiency in SQL, Python, and knowledge of Amazon Redshift optimization are crucial, alongside familiarity with tools like Hadoop and big data solutions within cloud infrastructures. Strong analytical skills and excellent communication abilities are also essential.

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How can I advance my career as a Senior Business Intelligence Engineer at dLocal?

At dLocal, advancing your career as a Senior Business Intelligence Engineer involves continuous learning and skills development. We support your growth through access to premium learning resources and language classes, alongside opportunities to take on new challenges and collaborate across teams. Engaging in innovative projects and leading best practices in BI will also help you build a successful career here.

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What benefits does dLocal offer to its Senior Business Intelligence Engineers?

dLocal provides its Senior Business Intelligence Engineers with a range of tailored benefits, including flexible work arrangements, learning and development opportunities, and a social budget for team bonding activities. Other perks include remote work options, access to a premium subscription for online learning platforms, and free language courses in English, Spanish, or Portuguese, to support a culture of continuous growth and collaboration.

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How does dLocal's culture support Senior Business Intelligence Engineers?

dLocal promotes a dynamic and inclusive culture that supports Senior Business Intelligence Engineers by encouraging collaboration, innovation, and flexibility. Our remote-first approach ensures you can work effectively from anywhere while being part of a diverse team dedicated to problem-solving. Additionally, our emphasis on professional growth through learning opportunities and social initiatives fosters a healthy work-life balance.

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Common Interview Questions for Senior Business Intelligence Engineer
Can you describe your experience with data pipeline design as a Senior Business Intelligence Engineer?

When answering this question, share specific projects where you designed data pipelines, highlighting your thought process regarding scalability and performance. Provide examples of the tools you've used, such as Airflow for orchestration, and discuss how you ensured data quality throughout the process.

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What strategies do you employ for optimizing Amazon Redshift performance?

Be prepared to discuss various optimization techniques, such as using distribution and sort keys, regular data vacuuming, and analyzing query performance. Share specific instances when you improved query efficiency and the impact it had on overall system performance.

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How do you ensure the reliability and consistency of data in your BI Platform?

Emphasize your approach to monitoring data quality, such as implementing automated testing and validation processes. Describe how you identify and resolve discrepancies, ensuring that the BI platform remains dependable for stakeholders.

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What is your experience using big data tools and platforms?

Discuss your familiarity with various big data tools like Hadoop and Spark, explaining how you've utilized them in previous roles. Describe how you adapted your strategies based on the specific challenges of the big data landscape.

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How do you keep up-to-date with industry best practices and technological advancements?

Highlight your commitment to continuous learning through professional networks, attending conferences, and engaging with online communities. Share specific examples of tools or methodologies you've adopted based on new trends you've encountered.

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Can you explain the Medallion Architecture and its importance?

Provide a clear explanation of the Medallion Architecture, touching on the Bronze, Silver, and Gold tiers. Discuss how each tier supports efficient data processing and analysis, and relate this to your experience in implementing such architectures.

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Describe a challenge you faced in your role and how you overcame it.

Choose a specific challenge related to data management or BI tools. Explain the situation, the actions you took to address it, and the positive outcome. This will showcase your problem-solving skills and adaptability.

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How do you prioritize multiple requests for data extraction?

Discuss your approach to evaluating the urgency and importance of requests, as well as your strategies for balancing team demands. Emphasize the importance of communication and collaboration in managing expectations effectively.

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What best practices do you follow when developing data solutions?

Share how you define and adhere to coding standards, documentation practices, and version control in your data solutions. Discuss how these practices enhance collaboration and facilitate easier maintenance and updates.

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In what ways have you contributed to the data strategy in your previous roles?

Reflect on any experience collaborating with leadership to define BI data strategies. Discuss your contributions towards implementing governance frameworks and aligning data initiatives with business objectives.

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MATCH
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BENEFITS & PERKS
Paid Holidays
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 20, 2025

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