klar

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Data Engineer

Summary

Designs and maintains data pipelines in AWS to feed analytics and ML services, working closely with data scientists and engineers to build scalable ETL workflows using Python, Spark, and SQL.

Job Purpose:

Klar's Data Engineer will be responsible to optimize and re-designing our Digital Platform and to support a new generation of data-driven services and initiatives. He/She will be responsible for expanding and optimizing our data pipeline architecture, supporting Data Engineers Data Scientists, Data Analysts and Software Engineers with optimal data delivery architectures and services.


Tasks and Responsibilities:

  • Support creation, maintenance and evolution of an optimal data pipeline architecture.

  • Meet data team requirements, assembling large and complex datasets with a wide variety of data source

  • Work on data extraction, enrichment, transformation and integration through ETL/API.

  • Support experiments, development and debugging of algorithms.

  • Build robust workflows for training, evaluation and deploying algorithms at scale.


Education Requirements

Bachelor’s degree


Required Hard Skills

  • Proficient English language

  • Experience in AWS environment

  • Proficiency in SQL/NoSQL

  • Experience in Python

  • Proficiency Apache Spark

Required Soft Skills

  • Curiosity

  • Challenges acceptor

  • Strong communication skills

  • Teamwork

  • Problem-solving

  • Time management

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