Azure Data Architect/Engineer - Intl - India
Insight Global - Plano, Texas, us, 75086
Work at Insight Global
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Overview
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: . -3+ years within Data Architecture (expertise as a Data or Technical Architect) -8+ years of Data Engineering experience -Expertise within data lakes and ML models -Experience with Azure design and development experience, including but not limited to: ADF, Databricks, Synapse -Expertise working with Metadata/MDM -Experience working with business leaders at various levels -Ability to mentor junior data engineers and onshore/offshore team members -Ability to define and design best practices and frameworks for data engineering -Experience with back-end data design with respect in context of API environment where APIs will be used to query live data on a mobile application (this team owns the backend and the serving of content up, but not the mobile app itself) -Strong technical knowledge in how Databricks connects to ADF -Ability to write SQL queries and complex SQL joins -Excellent written and oral communication (provide verbal and written status reports) -Experience pulling data from various databases: (most data is within Azure Data lake, Hadoop, Teradata, Vertica, Oracle)