Job Description We are seeking experienced data professionals to support our data strategy and platform integration initiatives. This role will focus on Snowflake administration, data engineering, and integrating various analytics platforms including Microsoft Fabric and Qlik. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements 3+ years of experience with Snowflake data platform Strong SQL skills and experience with data modeling Experience with ETL/ELT tools and data pipeline development Understanding of data warehousing concepts and best practices Excellent communication and problem-solving skills Experience with Microsoft Fabric Experience with Qlik (Qlik Sense, QlikView) Snowflake certifications (SnowPro Core, SnowPro Advanced) Experience with Python or other scripting languages for data automation Background in cloud platforms (Azure, AWS, GCP) Experience in manufacturing or industrial sector

The role requires at least three years of experience with the Snowflake data platform. Strong SQL skills and experience with data modeling are necessary. Candidates must have experience with ETL/ELT tools and data pipeline development. An understanding of data warehousing concepts and best practices is also required. Experience with Microsoft Fabric and Qlik Sense or QlikView is needed. Experience with Python or other scripting languages for data automation is beneficial. Background in cloud platforms such as Azure, AWS, or GCP is also mentioned.