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Senior Data Engineer

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Full time
Work from: 
Spain, Uruguay, Brazil, Argentina

Offer summary

Qualifications:

Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field., Proven experience as a Data Engineer or similar role, with strong knowledge of Amazon Redshift optimization techniques., Proficiency in SQL, Python, and familiarity with programming languages like Java or C++., Experience with Big Data tools and cloud infrastructures such as AWS, Azure, or Google Cloud..

Key responsabilities:

  • Sustain and improve the Business Intelligence (BI) platform and boost Amazon Redshift performance.
  • Design and build the Medallion Architecture to optimize data pipelines for efficient processing and analysis.
  • Implement and maintain data pipelines, ensuring data quality and consistency while addressing errors in the BI platform.
  • Collaborate with data teams and leadership to define the company's BI data strategy and support ad-hoc data extraction requests.

dLocal logo
dLocal Financial Services Large https://dlocal.com/
501 - 1000 Employees
See all jobs

Job description

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 Data Engineer to facilitate the operations of
our data solutions. This Data Engineer 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 webpage, Linkedin, Instagram, and Youtube for more about dLocal!

    Required profile

    Experience

    Industry :
    Financial Services
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Data EngineeringSQL (Programming Language)Amazon RedshiftPython (Programming Language)KubernetesPkMSData Warehouse ArchitecturesC++ (Programming Language)Amazon DynamoDBApache AirflowAWS Cloud ServicesPentaho Data IntegrationAmazon AthenaDocker (Software)Google Cloud Platform (GCP)AWS LambdaAzure Cloud ServicesCI/CDJava (Programming Language)TerraformApache SparkAmazon S3Apache Hadoop

    Other Skills

    • Teamwork
    • Communication
    • Problem Solving
    • Analytical Skills
    Are you interested?

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