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Data Engineer

We are looking for software data engineers for our projects! At KIS, we are always looking for talented individuals to join our team for future opportunities. If you are a data engineer (junior, mid, or senior) and interested in working on innovative projects with one of our global clients, sign up for our vacancy! *Job available only for Latin American residents*

schedule

Full Time

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Work Contract

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What you'll do

  • Design, build, and maintain end-to-end data pipelines (batch and/or streaming), from ingestion to transformation and delivery
  • Develop and operate ETL/ELT workflows, ensuring reliability, scalability, and performance
  • Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases
  • Implement and maintain data models (star schemas, incremental models, etc.) that are optimized for analytics and reporting
  • Develop reusable, modular Python code for data transformations and pipeline logic
  • Monitor data pipelines, troubleshoot failures, and perform root cause analysis across code, orchestration, data sources, and cloud services
  • Ensure data quality by implementing automated validation checks (schema validation, freshness checks, row-level assertions, etc.)
  • Translate business and analytical requirements into robust technical data solutions
  • Collaborate with analysts, backend engineers, and other stakeholders to define data contracts and ensure data availability
  • Actively participate in planning, estimation, and prioritization of data engineering tasks
  • Proactively identify risks related to performance, scalability, and data integrity and propose mitigation strategies
  • Contribute to continuous improvement of data platforms, processes, and team practices
  • Write and maintain technical documentation for pipelines, schemas, and data lineageCommunicate clearly with team members and clients, raising questions and concerns when requirements or priorities are unclear
  • Support and mentor other team members when appropriate, contributing to overall team performance

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Requirements

  • Professional experience as a data engineer working with production data pipelines
  • Experience with SQL, including
    • Query optimization
    • Indexing
    • Partitioning
    • Performance trade-offs
  • Professional experience writing Python for data transformations and following good design and modularization practices
  • Experience designing and implementing data models for analytics use cases
  • Hands-on experience with GCP and Big Query.
  • Experience building and operating pipelines using cloud-based data platforms
  • Hands-on experience with Azure, Databricks, and data lake environments
  • Experience operating data pipelines, including error handling, monitoring, and data quality processes
  • Familiarity with Git for version control, including branching and resolving merge conflicts
  • Experience working with Kubernetes or containerized data workloads
  • Understanding of data formats such as Parquet or ORC, including cost and performance considerations
  • Knowledge of basic data security and governance practices (access control, masking, PII handling, etc.)
  • Ability to deliver simpler tasks independently and more complex tasks with guidance
  • Strong sense of ownership, responsibility, and accountability for data workflows
  • Good organizational and time management skills and ability to estimate and meet delivery deadlines
  • Advanced English for collaboration with global clients
  • Team-oriented mindset with strong communication and problem-solving skills

Nice to have

  • Experience with data orchestration tools (Airflow, Azure Data Factory, or similar)
  • Exposure to CI/CD for data pipelines and deployment automation
  • Experience with streaming data (Kafka, Event Hubs, etc.)
  • Familiarity with data observability and monitoring tools
  • Experience collaborating with machine learning or advanced analytics teams
  • Experience working with Java Spring Boot in data engineering projects

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Other information

  • 100% remote job, allowing for flexibility and a great work-life balance
  • Flexible work environment that supports personal and professional needs
  • Regular feedback focused on personal development and career growth
  • Competitive salary, reflecting your skills and contributions
  • Opportunities for international collaboration and travel
  • Legal Person (PJ) contract

This job is available only for Latin American residents.

apply for position

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Big Data Tech Lead Talent Pool

We are looking for a talented tech lead to work on an IT project involving the maintenance and improvement of a big and complex data pipeline. This project has high visibility and high growth, so it is important to have a diverse background in computing to succeed in this role. Experience should include data management, reports creation, support, backend API development, cloud computing, and team and client management. If you think this fits your profile, we look forward to talking to you! *Job available only for Latin American residents*

Questions about joining our team?

what is the work environment like?

We are a fully remote company, but we value in-person connections. We host annual trips for teams to collaborate and bond, and some teams organize additional meetups throughout the year to work together.

what does "flexible work" mean at KIS?

As long as you participate in team and client meetings, events, and deliveries, you can choose your work hours. Apart from those responsibilities, you choose how to distribute the remaining hours of your day. Just make sure you're communicating frequently and clearly with your team members!

how do we keep our teams together?

We have performance improvement plans, feedback and follow-up sessions, social gatherings (online and offline), and laid-back events to keep our teams engaged and united.

how do our contracts work?

Our contracts are based on Legal Person agreements (PJ in Brazil). Let us know if you need more details about this contract model.

We work hard. We have fun. We love what we do.

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Contact our team and learn more about careers at KIS.

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