Principal Data Engineer -general Application

AUTODESK TLV

Multiple Locations
Hybrid
Data pipeline builder
Sql and aws big data technologies
Python
Improve data and data pipeline architecture and optimizing data flow and collection for associated teams

Job Summary

  • Improve data and data pipeline architecture and optimizing data flow and collection for associated teams.
  • Build the infrastructure required for extraction, transformation, and loading of data from different data sources using SQL and AWS 'big data' technologies.
  • Keep up to date with the latest and greatest in feature-sets and capabilities from public cloud providers (such as AWS) and find ways to apply them back help their team.

Matching Summary

Improve data and data pipeline architecture and optimizing data flow and collection for associated teams.

Skills & Requirements

Must-have

  • Data pipeline builder
  • SQL and AWS big data technologies
  • Python
  • Relational databases
  • RESTful API
  • AWS Batch, CloudFormation, IAM, Lambda, ECS, StepFunctions

Nice-to-have

  • Agile and SCRUM methodologies
  • working with PowerBI
  • working with unstructured datasets
  • working with agile, globally distributed teams
  • natural language processing (NLP) and AI

Key Requirements

  • 5+ years of experience in Data Engineer role
  • Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • Strong command of English

Work Rights

Not specified

Tailored Resume

Cover Letter