Data Engineer Sas

NEORIS

Colombia, Colombia
Competitive salary; annual performance bonus; vaca...
On-site
Sas enterprise guide and enterprise miner 9.4
Advanced sql for data modeling
Python and pyspark development experience
NEORIS is seeking a Data Engineer with expertise in SAS, SQL, Python, and cloud environments, particularly AWS, to work on complex data engineering projects. The role demands a high level of autonomy and technical rigor, contributing to the design and optimization of data processes. The position is based in Colombia and offers competitive compensation along with various employee benefits

Job Summary

  • The role focuses on designing, developing, and maintaining complex data engineering processes using the SAS ecosystem.
  • Candidates will integrate modern technologies like SQL, Python, and PySpark with relational databases in an AWS cloud environment.
  • The company offers a competitive salary, prepaid medical insurance, three free days per week, and annual performance bonuses.

Matching Summary

Match Score: 85

NEORIS is seeking a Data Engineer with expertise in SAS, SQL, Python, and cloud environments, particularly AWS, to work on complex data engineering projects. The role demands a high level of autonomy and technical rigor, contributing to the design and optimization of data processes. The position is based in Colombia and offers competitive compensation along with various employee benefits.

Salary

Competitive salary; Annual performance bonus; Vacation bonus

Skills & Requirements

Must-have

  • SAS Enterprise Guide and Enterprise Miner 9.4
  • Advanced SQL for data modeling
  • Python and PySpark development experience
  • AWS cloud environment operations
  • End-to-end data solution design

Nice-to-have

  • Autonomous work style and initiative
  • Strong analytical thinking skills
  • Focus on quality and rigor
  • Multicultural team collaboration
  • Documentation and version control practices

Key Requirements

  • Solid experience as a Data Engineer in productive environments
  • Proven mastery of SAS EG and EM 9.4
  • Practical experience with Python and/or PySpark

Work Rights

Not specified

Tailored Resume

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