Helfy

Junior Data Engineer

Israel / BI / Full-Time

About Helfy

Helfy is a fast-growing company that was founded to make a positive impact on the Wellness and lifestyle of others. We believe that the key to better Wellness goes hand in hand with better healthcare services. So, we’ve made it our primary mission to help millions of people worldwide by redefining the way we approach digital healthcare, making it quick, easy, and accessible to everyone via our brands.

Via a vast range of solutions, We enhance our users’ lives by putting them at the center of attention, constantly offering them new and exciting ways to get their lifestyle back on track, under the highest standards in the field of digital healthcare.

Position Description

We are looking for a passionate and talented Junior Data Engineer to join our BI team. The potential candidate will be trained by us.

Responsibilities:
  • Create and maintain optimal data pipeline architecture
  • Build the required infrastructure for optimal extraction, transformation, and loading data from various sources using SQL, ETL tool, and AWS ‘big data’ technologies.
  • Identify, design, and implement internal process improvements within automated and manual processes, optimize data delivery, re-designing infrastructure for greater scalability, etc.
  • Optimizing the data collection flow and analytic processes constantly.
  • Implement systems to monitor data quality for optimized accuracy and clarity
  • Work with stakeholders, including data analytics, product, marketing, and R&D, to strive for greater functionality in our data systems and assist them with data-related technical issues.
  • Keep our data separated and secure through multiple data centers and AWS regions.
  • Build and test algorithms and predictive models according to the business requirements
Requirements:
  • Academic degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field:
  • Expert proficiency in SQL
  • Excellent analytical and problem-solving skills.
  • Advantage: Technical expertise with data models, data mining, and segmentation techniques
  • Excellent English.

We welcome qualified candidates of all races, creeds, genders, and sexuality to apply.

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