Highly Experienced Big Data Solutions Architect

6 days ago


Mississauga, Ontario, Canada Droisys Full time

Company Overview

Droisys is a cutting-edge technology company dedicated to empowering businesses to accelerate their digital transformation initiatives. By leveraging our deep technical expertise and Agile methodologies, we help organizations modernize their systems of engagement and simplify human-technology interaction.

Estimated Salary: $130 CAD per annum + benefits.

Job Description

We are seeking an experienced Senior Big Data Engineer to join our Data Engineering team. As a key member of the team, you will be responsible for designing and developing innovative big data solutions. You will work closely with domain experts, product managers, analysts, and data scientists to develop big data pipelines in Hadoop or Snowflake and deliver data as a service framework.

Key Responsibilities:

  • Design and development of big data solutions
  • Partner with domain experts to develop big data pipelines
  • Responsible for delivering data as a service framework
  • Migrate legacy workloads to cloud platform
  • Work with data scientists to build client pipelines using heterogeneous sources
  • Ensure automation through CI/CD across platforms

Required Skills and Qualifications

To succeed in this role, you should have:

  • 8+ years of experience in hadoop/big data technologies
  • 3+ years of experience in spark
  • 2+ years experience in Snowflake
  • 2+ year of experience working on Google or AWS cloud developing data solutions
  • Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning
  • Experience with containerization and related technologies
  • Experience with all aspects of DevOps
  • Comprehensive knowledge of software engineering and data analytics principles

Benefits

Droisys offers a dynamic work environment that values diversity, inclusion, and belonging. We believe in fostering a diverse work culture and provide equal opportunities to all candidates. If you're passionate about big data and technology and want to contribute to our growth, we encourage you to apply for this exciting opportunity.



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