Senior Data Engineer – Python / AWS / Modern Data Platforms

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.

You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.

Key Responsibilities

Build scalable data pipelines using Python and Spark/PySpark.
Develop, debug, test, and optimize production data solutions.
Work with Databricks, Snowflake, and modern data platforms.
Build and deploy solutions on AWS.
Apply strong software engineering and coding practices.

Required Skills

~5 years of hands-on Data Engineering experience.
Strong Python-first programming and debugging skills.
Hands-on Spark/PySpark experience.
Experience with AWS and Databricks/Snowflake.
Production experience building and supporting data pipelines.

Good to Have

Financial Services domain experience.
Dagster or other data orchestration platforms.
Cloud-native data engineering experience.

Not checking every single requirement?

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. At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.

Senior Data Engineer

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