Location: Pune

Responsibilities include:

- Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Develop data pipelines to extract and transform data in near real-time using cloud-native technologies.
- Implement data validation and quality checks to ensure accuracy and consistency.
- Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency .
- Collaborate with business users, analysts, and other stakeholders to understand data requirements and deliver tailored solutions.
- Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.




- Provide technical guidance and support to team members and stakeholders as needed.

Desirable Competencies:
- 8+ years of work experience.
- Proficiency in writing complex SQL queries on MPP systems (Snowflake/Redshift).
- Experience in Databricks and Delta tables.
- Data engineering experience with Spark/Scala/Python.
- Experience in Microsoft Azure stack (Azure Storage Accounts, Data Factory, and Databricks).
- Experience in Azure DevOps and CI/CD pipelines.
- Working knowledge of Python.
- Comfortable participating in 2-week sprint development cycles.

📌 Sr. Data Engineer - Pune (India)
🏢 Photon
📍 India