Job Description • Develop and maintain ETL pipelines using SQL and JSON files to extract, transform, and load data from various sources (e.g., vendor APIs, flat files, databases, etc.) into our data warehouse • Perform data quality checks, validation, and cleansing to ensure data accuracy and integrity • Troubleshoot and resolve data issues and errors • Document ETL processes, data models, and data dictionaries • Collaborate with other data engineers, analysts, and stakeholders to understand business requirements and deliver data solutions 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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Requirements: • Bachelor’s degree in Computer Science, Information Systems, or related field • 8+ years of experience in SQL development and ETL processes • Proficient in writing complex SQL queries, stored procedures, functions, and views • Experience in working with JSON files and parsing JSON data • Experience in using ETL tools such as SSIS, Informatica, Talend, etc. • Knowledge of data warehousing concepts and best practices • Familiarity with cloud platforms such as AWS, Azure, or GCP • Excellent communication, analytical, and problem-solving skills