Data Engineer - Python/SQL/ETL

Role : Data Engineer (3-5 Years)

About the role :

These pipelines are critical for powering product analytics, AI model evaluation, safety and reliability systems, and business decision-making across our agentic AI platform.

This role offers the opportunity to work closely with Product, Data Science, Infrastructure, Marketing, Finance and AI/Research teams, contributing to how our AI systems are trained, evaluated, and improved. As Bharat AI continues to grow rapidly, data-driven insights are central to our platform, and your work will have direct and visible impact.

In this role, you will :

- Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.

- Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.

- Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.

- Implement robust and fault-tolerant systems for data ingestion and processing.

- Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.

- Ensure the security, integrity, and compliance of data according to industry and company standards.

You might thrive in this role if you :

- Have 3+ years of experience as a data engineer.

- Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.

- Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS).

- Expertise with any of ETL schedulers such as Airflow.

- Solid understanding of Spark and ability to write, debug and optimize Spark code.

Bonus to have :

- Hands-on experience working with Databricks in production environments.

- Familiarity with the GCP data stack, such as Pub/Sub, Dataflow, BigQuery, or GCS.