Open role · Engineering

AWS Big Data Engineer

Work mode: Remote (EST) Engagement type: Contract (extendable) Req ID: GDBI-9B4E2D8F

Role summary

Build high-volume AWS data pipelines and distributed-processing systems that integrate streaming, batch, API and enterprise data into scalable analytical platforms.

What you’ll do

Design, build and operate distributed data pipelines and warehouses on AWS.
Integrate streaming, batch, API and application data into governed enterprise platforms.
Implement orchestration, quality checks, lineage and operational monitoring across pipelines.
Optimize distributed processing for performance, reliability and cloud cost.
Support data architecture decisions and end-to-end project delivery with client and engineering teams.
Evaluate evolving data technologies and improve engineering standards and automation.

What you should bring

Extensive data-engineering experience, including several years in big-data and solution-architecture work.
Strong AWS experience across services such as S3, Redshift, Glue, EMR, Kinesis, Lambda and IAM.
Strong SQL plus Python, Java and/or Scala skills and experience with Spark/Databricks/Kafka.
Experience with data modeling, ETL/ELT, orchestration and distributed processing.
Ability to work across architecture, build, testing and production support.
Current AWS certifications required by the role; provide verification links with the application.

Useful additional experience

Airflow or Apache NiFi
Lakehouse architecture
Real-time data processing
Bilingual English/French

How we work

NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.

Hiring process

The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.

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