Senior Data Analytics Engineer (Databricks)

Remitee

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profile Job Location:

Buenos Aires - Argentina

profile Monthly Salary: Not Disclosed
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Job Summary

Remitee a rapidly expanding fintech company specializing in international payments is seeking a Senior Data Analytics to join its Data Team.

We are looking for a highly autonomous builder - someone who can take an ambiguous business problem design the solution end-to-end and execute it. This includes data modeling pipeline development optimization and when necessary infrastructure setup.

This is not a DevOps role. However we value engineers who are not blocked by infrastructure and can deploy what they need to move forward.

Key Responsibilities

  • Own the end-to-end implementation of data solutions from problem definition to production deployment.
  • Design scalable data models and pipelines that support business-critical use cases.
  • Improve performance reliability and cost-efficiency of our Databricks environment.
  • Lead technical decisions around data architecture and implementation patterns.
  • Ensure production-grade quality through testing code review observability and monitoring
  • Remove blockers independently including infrastructure setup when necessary

What youll build / first 90 days:

  • Partner with functional teams to clarify requirements and deliver 12 high-impact data solutions running in Databricks and (when needed) cloud services (e.g. functions/jobs).
  • Review the current data platform (pipelines tables costs/performance) and produce a short actionable improvement plan with clear priorities.
  • Build and productionize core datasets in Databricks across Bronze/Silver/Gold including documentation quality checks and ownership boundaries.

What Were Looking For

  • Strong SQL skills (query optimization partitioning performance tuning).
  • Strong Python skills.
  • Experience building and deploying jobs in Databricks.
  • Solid understanding of distributed data processing.
  • Experience working with large datasets.
  • Ability to independently design and implement end-to-end solutions.
  • Comfort using Bash and cloud CLIs (AWS/Azure) when needed.

Nice to have:

  • Infrastructure-as-Code experience (Terraform ARM CloudFormation)
  • Experience with Docker and CI/CD pipelines.
  • Experience deploying databases or services in cloud environments.
  • Experience with NoSQL databases (e.g. MongoDB).
  • Understanding of Lakehouse architectures.
  • Strong system design fundamentals
  • Open-source contributions

About Remitee

Remitee is an international expanding organization with a vibrant culture that sets us apart. Our work environment is fast-paced and stimulating offering numerous opportunities for growth and development. If youre a self-starter who thrives in a collaborative and challenging environment we encourage you to apply. Our company values are fundamental to our daily operations. To succeed here youll need to embrace and live our company values.

  • Build Trust (Integrity and Transparency).
    Inspire by example honor your promises be sincere.
  • Embrace Diversity (Respect and Empathy).
    Active listen and connect with others value all perspectives. Acknowledge accomplishments appreciate contributions.
  • Work in Team (Foster Trust and Collaboration).
    Create authentic partnerships by offering opportunities and sharing responsibilities.
  • Focus on Essentials (Be Simple).
    Make the complex simple by creating effective solutions. Communicate in a clear and easy to understand way.
  • Be Your Best Self (Excellence).
    Commit to discipline and perseverance nurturing both your body and mind. Approach everything you do with passion and purpose.
Remitee a rapidly expanding fintech company specializing in international payments is seeking a Senior Data Analytics to join its Data Team.We are looking for a highly autonomous builder - someone who can take an ambiguous business problem design the solution end-to-end and execute it. This includes...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala