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Junior Data Engineer

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Full Remote
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Offer summary

Qualifications:

Strong SQL skills including complex queries and performance tuning., Experience with ETL processes and cloud-based systems, particularly AWS., Knowledge of AI and LLM applications in data processing., Familiarity with data visualization tools like PowerBI..

Key responsabilities:

  • Develop and implement a HIPAA compliant cloud-based data aggregation system.
  • Design and automate ETL processes for data cleansing and validation.
  • Build operational dashboards to monitor data aggregation.
  • Utilize AI knowledge for data feature extraction and classification.

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Talent Group Scaleup http://www.talentgroups.com
501 - 1000 Employees
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Job description

Duration: 5 months to start

Job Description

  • Develop and implement a HIPAA compliant cloud-based data aggregation system.
  • Design and develop ETL processes based on AWS Athena Lake and MS SQL platform
  • Automate ETL solutions for data cleansing, validation, preparation and related processes using tools as AWS Glue, AWS data quality and Lambda
  • Build operational dashboards to monitor data aggregation process using custom function and PowerBI
  • Strong SQL skills including all complex queries, stored procedures, performance tuning
  • Some of SQL functions like window function and analytic functions
  • AI Knowledge - Need good knowledge on LLM and how to using LLM on common use cases like RAG and classification, data feature extraction

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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