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Senior Data Engineer
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$60,000 - $150,000 a year
- Build and grow data engineering capabilities that deliver performance solutions that drive customer value and business outcomes.
- Help facilitate setting up an enterprise-level data strategy, including Governance, Data Architecture, Big data analytics, Delivery leadership, Knowledge of Automation
- Bachelor's degree with Minimum 3 years of overall experience, with hands-on experience in setting up enterprise-level data lakes using any big data platform (Azure Data Lake and/or Databricks a plus).
- Able to understand and guide teams in the implementation of Data Lake and ELT concepts in the Cloud using Databricks, Azure Data Factory, Python, C#, GraphQL, PySpark, Pandas, etc.
- Expertise with Azure & Databricks in the Data lifecycle & AI domain –Data Migration, Data Transformation, Data Modernization, Modern Data Warehouse, Analytics, Azure ML, etc.
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