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 public cloud platforms Azure is required.

- Knowledge of a programming language - Java, 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)

Core/Must have skills :

- Knowledge of Public cloud platforms Azure is required.

- Knowledge of a programming language - Java, 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

- Minimum 5+ years of Databricks experience using Azure Cloud

- 5+ years of hands on expertise in Hadoop and Java or Scala

- Practical experience with Data Engineering and the accompanying DevOps & DataOps workflows

Good to have skills :

- Certification on Azure/AWS

- Certification on Hadoop, Java or Scala and Databricks

- Familiarity with SDLC and Agile methodologies

Work Schedule :

- Hadoop, Scala, Java and Databricks