Job Description

Job Description A client of Insight Global is looking for an Azure Data Engineer to join their team. This person will be assisting the team to create a data warehouse back bone from end-to-end and working with the architect to streamline all processes. Duties will involve creating data pipelines and queries, writing SQL queries from scratch, comparing data, writing analysis, extracting data from existing databases, utilizing Azure Databricks, and working with ETL tools. Both verbal and written communication is a must as this person will be required to work with multiple teams throughout the organization. This position requires to be onsite 5 days/week and will be at the hourly rate of $70-$73.50/hour. 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: Skills and Requirements 5+ Year of experience in Data Engineering Use Python or SQL for engineering and scientific calculations Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience/Knowledge in working with NoSQL databases and can create E2E pipelines Experienced in building and optimizing complex queries Proven Experience in working with any one of the data engineering technologies like ADLS, Azure Databricks, Azure SQL, Synapse Previously created or enhanced CI/CD build and releases pipelines Experience in working with scripting languages such as YAML, PowerShell, Terraform Certification in Azure

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