We're looking for Data Engineers!

Responsibilities:

- Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
- Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with recent features, best practices, and industry developments related to Databricks and cloud-based data engineering.

Qualifications

- Familiarity with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
- Familiarity working with data engineering principles, practices, and tools, particularly in cloud-based environments.




- Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
- Familiarity with implementing data and AI solutions, ensuring seamless integration and optimal performance.
- Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.

(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)

📌 Data Engineer (Bengaluru)
🏢 Scoutit
📍 Bengaluru