Farmtech

Mid-Level Data Engineer – Solutions Development

Farmtech

full-time

Posted on:

Location Type: Hybrid

Location: São Paulo • Brazil

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Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformHadoopPythonSparkSQL

About the role

  • Work on the development, maintenance and evolution of scalable, reliable data solutions
  • Design, develop and maintain efficient, scalable and reliable data pipelines
  • Automate extraction, transformation and load (ETL/ELT) routines in cloud environments
  • Implement solutions for integrating data from multiple sources, including structured and unstructured data
  • Develop and maintain data APIs and services for consumption by internal and external applications
  • Ensure data quality, governance, security and integrity at all stages of the data flow
  • Work on relational and non-relational data modeling to support analytical and operational use cases
  • Document architectures, pipelines, processes and data models clearly, consistently and in a reusable manner
  • Collaborate with Data Science, Software Engineering teams and business stakeholders
  • Support continuous improvement of data processes, performance and cloud cost optimization

Requirements

  • Proficiency in SQL and database management
  • Experience with Python for data engineering and process automation
  • Knowledge of REST APIs, JSON formats and system integration
  • Version control using Git
  • Knowledge of data architecture and modeling (relational and non-relational)
  • Experience with Big Data tools (Spark, Hadoop or similar)
  • Experience with Cloud Computing, preferably AWS (Azure or GCP as alternatives)
  • Familiarity with software engineering best practices, including testing, versioning and CI/CD
  • Technical English for reading documentation and participating in technical discussions
Benefits
  • Food allowance
  • Meal voucher
  • Health insurance
  • Dental insurance
  • Career development plan
  • Employee discount club
  • Profit sharing (PLR)
  • Life insurance
  • Transportation voucher

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonETLdata modelingREST APIsJSONBig DataSparkHadoopCloud Computing
Soft skills
collaborationcommunicationdocumentationcontinuous improvement