Data Engineer

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.

Requirements and ResponsibilitiesWhat You’ll Do

• Design and implement data pipelines using Snowflake.

• Optimize data storage and query performance within the Snowflake environment.

• Collaborate with data scientists and analysts to gather and understand data requirements.

• Monitor and maintain Snowflake account health and performance.

• Develop and execute data integration processes from various sources.

• Document data architectures, workflows, and best practices.

• Stay up to date with Snowflake updates, new features, and industry trends.

• Configure Snowflake environments for both internal product and external client platforms.

• Configure and manage access controls, user roles, and permissions for client-hosted Snowflake environments to support product operations.

• Transition ownership of configuration, access control, and administrative tasks of Snowflake environments to designated teams following UAT and production handover.

What You’ll Bring

• Bachelor’s degree in computer science, Information Technology, or a related field.

• Proven experience with Snowflake and SQL.

• Strong understanding of data warehousing concepts and practices.

• Excellent analytical and problem-solving skills.

• Ability to work independently and within a team.

• Strong communication skills in English (written and verbal).

• Minimum 5+ years of relevant experience in data engineering or cloud-based data warehousing.

• Experience with ETL tools and data integration technologies.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

• Knowledge of data governance and security practices.

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.