Point your AI agent at freehire and let it find you a job.

Get the CLI →

Senior AWS Big Data Engineer Hybrid

Posted 1 view
Discussion

Summary

Senior engineer who designs and maintains scalable AWS data pipelines, leads migration from on-prem Netezza to AWS Cloud, and builds ETL and real-time data processing in an enterprise environment. Core stack includes AWS services, SQL Server, SSIS/Pentaho, Airflow, and Kafka; hybrid role based in Toronto.

Elevate your career as a Senior AWS Big Data Platform Engineer in a hybrid role. Focus on data pipelines, cloud migration, and leveraging AWS technologies for innovative solutions.

This position is for a highly skilled engineer experienced in Big Data technologies and AWS Cloud. You'll design, develop, and maintain scalable data pipelines while leading migration initiatives from Netezza to AWS Cloud. The role encompasses real-time data processing and ETL management within a diverse enterprise environment.

Key Responsibilities: • Design and maintain scalable data pipelines using AWS services • Lead platform migration initiatives from On-Prem to AWS Cloud • Develop ETL processes with tools like SSIS or Pentaho • Optimize data workflows and orchestration with Airflow • Collaborate with cross-functional teams including developers and architects

Requirements: • 10+ years in Data Engineering and Platform Engineering • Strong experience in AWS services and Netezza • Proficiency in SQL-based systems like SQL Server • Familiarity with real-time technologies like Kafka • Bachelor’s degree in Computer Science or related field

Utilize your expertise in data engineering, AWS services, and scalable systems to make a significant impact.

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →

See also

Data Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available