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Senior Data Engineer

Ontario, Canada (Hybrid)

Senior Data Engineer

1 Month ago • 4-8 Years • DevOps

About the job

5 skills required for this role

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microsoft-azure

bitbucket

azure

azure-devops

innovation

Job Description

Senior Data Engineer at Ness Canada will be responsible for designing, developing, and maintaining data pipelines and warehousing solutions using technologies like Synapse, PySpark, and Azure tools. Responsibilities include ETL pipeline development using PySpark, Bitbucket code management, and leveraging CI/CD. Experience with Azure services (ADF, DataBricks, Azure Synapse) and Azure DevOps is preferred. The role requires strong Agile methodology experience and retail experience is a plus. The candidate will work on products and platforms for innovative software companies, collaborating with highly skilled professionals.

Must have:

Synapse/PySpark Notebook/Pipeline development
Data warehousing experience
ETL pipelines using PySpark
Bitbucket code management
CI/CD knowledge
Agile methodology experience

Good to have:

Microsoft Azure Tools (ADF, DataBricks, Azure Synapse)
MS Azure DevOps
Retail experience

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Description

Position at Ness Canada, Inc.

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit www.ness.com

We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term technology goals. Our culture is open, transparent, challenging, and fun.

We hire smart, self-starters who thrive in an open-ended environment to figure out what needs to be done and take ownership in delivering quality results

Senior Data Engineer

Skills - Synapse/Pyspark Notebook/Pipeline development
Data warehousing Experience must.
ETL pipelines using Pyspark must.
Bitbucket code management must.
CICD knowledge must.
Understanding and implementation knowledge on various Microsoft Azure Tools (ADF, DataBricks, Azure synapse) preferred.
Knowledge and understanding of MS Azure DevOps preferred.
Should have experience in Agile methodology must.
Retail experience is preferred.

Why Ness

We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. At Ness, we treat our values of rigor, innovation, and partnership with the highest priority, and they are placed at the very core of our business — to guide us through our daily operations and interactions with our customers.

We offer our employees exciting and challenging projects across a diverse range of industries, as well as the opportunity to collaborate with a group of forward-thinking, capable partners around the globe.

Discover Ness Digital Engineering by visiting our website www.ness.com

Do you feel like not checking every single requirement?

At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. Also, we are aware of the studies that have shown that women/people of color/introverts are less likely to apply to jobs unless they meet every single qualification.

So, if this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.

Let’s meet and you may just be the right candidate for one of our roles.

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