Data Engineer

We're seeking a Data Engineer to help build and scale the data pipelines and core datasets at Bharat AI. 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.
Responsibilities:
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.
Requirements:
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.

Experience
3-7 yrs