As Data Engineer you will

Collaborate across a variety of teams to enable our Data Platform needs and design, implement, and maintain a secure and scalable infrastructure platform spanning across AWS/Azure and our Data CenterOwn and ensure that internal and external SLA’s meet and exceed expectations, System centric KPIs are continuously monitoredWork on our data lake, data warehouse, and stream processing systems to create a unified query engine, multi-model databases, analytics extracts and reports, as well as dashboard and visualizationsDesign and build systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics toolingYou will mentor other engineers and promote software engineering best practices across the organization designing systems with monitoring, auditing, reliability, and security at their coreCome up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environmentKnowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.Knowledge of a programming language - Python, Scala, or SQLKnowledge of end-to-end data analytics workflowHands-on professional experience in DatabricksExcellent time management and prioritization skillsExcellent written and verbal communicationBonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)

Core / Must Have Skills

Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.Knowledge of a programming language - Spark SQL, Python or ScalaKnowledge of end-to-end data analytics workflowStrong hands-on professional experience in DatabricksKnowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)Minimum 5+ years of Databricks experience using Azure Cloud 5+ years of hands-on expertise in Hadoop and ScalaPractical experience with Data Engineering and the accompanying DevOps & DataOps workflows

Good to Have Skills:

Certification on Azure/AWSCertification on Databricks, Hadoop, ScalaFamiliarity with SDLC and Agile methodologies

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