Intermediate Data Engineer

at  Omnipresent

WHO WE ARE

Omnipresent is a global employment platform that enables organisations to compliantly hire, onboard, pay, and manage their employees and contractors worldwide. With our team of global HR, legal, payroll, and benefits experts, we offer premium Employer of Record services in over 150 countries, which includes legal support and streamlined employee onboarding and offboarding. Our services ensure compliance with tax obligations and local labor laws, timely and accurate payroll, and competitive global benefits, including pensions, health insurance, and family leave to ensure a great experience for both the employer and employee.
We enable our clients to be able to employ anyone, anywhere, any way.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
• Proven experience with SQL and its application in data processing.
• Familiarity with DBT and Snowflake.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.

PREFERRED QUALIFICATIONS:

• Awareness of writing clean, maintainable code and following coding patterns and best practices.
• Knowledge of Python or another programming language.
• Understanding of data modeling and database design.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).

ABOUT THE ROLE:

We are seeking a talented and motivated Intermediate Data Engineer to join our dynamic team. The ideal candidate will have a solid understanding of data engineering principles, with a specific focus on DBT and Snowflake, and extensive knowledge of SQL. This role will involve designing, building, and maintaining data pipelines, ensuring efficient processing and storage of data, and supporting various operational use cases on our data platform.

KEY RESPONSIBILITIES:

• Design, build, and maintain efficient, scalable, and reliable data pipelines.
• Implement and manage data transformation processes using DBT.
• Work extensively with Snowflake for data warehousing solutions.
• Write and optimize SQL queries for data transformation and reporting.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality solutions.
• Ensure data quality and integrity through regular monitoring and testing.
• Troubleshoot and resolve data-related issues in a timely manner.
• Utilize the data platform intensively for various operational use cases.
• Stay up-to-date with the latest developments in data engineering technologies and best practices.