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 Center
- Own and ensure that internal and external SLA's meet and exceed expectations, System centric KPIs are continuously monitored
- Work 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 visualizations
- Design and build systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling
- You will mentor other engineers and promote software engineering best practices across the organization designing systems with monitoring, auditing, reliability, and security at their core
- Come up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment
- Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.
- Knowledge of a programming language - Python, Scala, or SQL
- Knowledge of end-to-end data analytics workflow
- Hands-on professional experience in Databricks
- Excellent time management and prioritization skills
- Excellent written and verbal communication
- Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)
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Core/Must Have Skills:
- Knowledge of at least one of the public cloud platforms AWS or Azure is required.
- Minimum 5+ years of Databricks experience using Azure Cloud
- 5+ years of hands on expertise in Hadoop and Scala
- Practical experience with Data Engineering and the accompanying DevOps & DataOps workflows
- Knowledge of a programming language - Python, Scala, or SQL
- Knowledge of end-to-end data analytics workflow
- Hands-on professional experience in Databricks
- Excellent time management and prioritization skills
- Excellent written and verbal communication
- Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)
- Strong end-to-end ownership and a good sense of urgency to enable proper self-prioritization
Good to Have Skills:
- Certification on Azure/AWS
- Certification on Hadoop, Scala and Databricks
- Familiarity with SDLC and Agile methodologies
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