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AWS Data Engineer

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Hands on experience with AWS technologies, Proficient in Python and NoSQL databases, Experience with data warehousing and ETL processes, Strong background in distributed systems design.

Key responsabilities:

  • Lead global data warehousing projects
  • Develop and maintain ETL processes for data integration

Numentica LLC logo
Numentica LLC SME https://www.numentica.com/
201 - 500 Employees
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Job description

This is a remote position.

  • Hands on experience leading large-scale global data warehousing and analytics projects
  • Hands-on technologist fluent in Python and other relevant languages
  • Complete working knowledge and experience of Amazon DynamoDB, serverless NoSQL database
  • Experience as a data engineer with AWS Redshift
  • Experience with serverless data integration like Glue, AWS S3
  • Experience with AWS Aurora and other relational database management systems. 
  • Experience in developing and maintaining Extract, Transform, Load (ETL) processes to ingest, clean, and transform data from various sources into a format suitable for analysis and reporting.
  • Experience in creating and managing data models, data warehouses, and data lakes to support both structured and unstructured data
  • Experience in implementing data governance and data quality standards to ensure data accuracy, consistency, and compliance with regulations.
  • Deep knowledge of integration patterns & technologies and experience designing and implementing integrated, distributed systems
  • Experience in Monitoring and optimizing data pipelines, queries, and database performance to meet the demands of real-time analytics and reporting.
  • Knowledge of distributed systems & services, messaging, object orientation, database solutions, web application development, security, and open-source technologies
  • Knowledge of design patterns and architectural concepts including microservices, low latency systems, data warehousing, APIs, event brokers, and cloud services, preferably AWS (Amazon Web Services)
  • Provide guidance and mentorship to junior data engineers and team members, sharing best practices and fostering a culture of continuous learning.


Required profile

Experience

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

Other Skills

  • Mentorship

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