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We are looking for a Data Engineer to help build and scale the data pipelines and core datasets that power analytics, AI model evaluation, safety systems, and business decision-making across Bharat AI’s agentic AI platform.
This role sits at the heart of how data flows through the organization. You will work closely with Product, Data Science, Infrastructure, Marketing, Finance, and AI/Research teams to ensure data is reliable, accessible, and production-ready as the platform scales rapidly.
At Proximity, you won’t just move data — your work will directly influence how AI systems are trained, evaluated, monitored, and improved.
Responsibilities -- Design, build, and manage scalable data pipelines, ensuring user event data is reliably ingested into the data warehouse.
- Develop and maintain canonical datasets to track key product metrics such as user growth, engagement, retention, and revenue.
- Collaborate with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams to understand data needs and deliver effective solutions.
- Implement robust, fault-tolerant systems for data ingestion, transformation, and processing.
- Participate actively in data architecture and engineering decisions, contributing best practices and long-term scalability thinking.
- Ensure data security, integrity, and compliance in line with company policies and industry standards.
- Monitor pipeline health, troubleshoot failures, and continuously improve reliability and performance.
Requirements
- 3-5 years of professional experience working as a Data Engineer or in a similar role.
- Proficiency in at least one data engineering programming language such as Python, Scala, or Java.
- Experience with distributed data processing frameworks and technologies such as Hadoop, Flink, and distributed storage systems (e.g., HDFS).
- Strong expertise with ETL orchestration tools, such as Apache Airflow.
- Solid understanding of Apache Spark, with the ability to write, debug, and optimize Spark jobs.
- Experience designing and maintaining data pipelines for analytics, reporting, or ML use cases.
- Strong problem-solving skills and the ability to work across teams with varied data requirements.
Desired Skills - - Hands-on experience working with Databricks in production environments.
- Familiarity with the GCP data stack, including Pub/Sub, Dataflow, BigQuery, and Google Cloud Storage (GCS).
- Exposure to data quality frameworks, data validation, or schema management tools.
- Understanding of analytics use cases, experimentation, or ML data workflows.
Benefits
- Best in class compensation: We hire only the best, and we pay accordingly.
- Proximity Talks: Learn from experienced engineers, data scientists, and product leaders.
- High-impact work: Build data systems that directly power AI models and business decisions.
- Continuous learning: Work with a strong, collaborative team and grow your data engineering skills every day.
We are Proximity — a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge technology at scale.
Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be significant. You’ll work with experienced leaders who have built and led high-performing tech, data, and product teams.
Here’s a quick guide to getting to know us better:
- Watch our CEO, Hardik Jagda, tell you all about Proximity.
- Read about Proximity’s values and meet some of our Proxonauts.
- Explore our website, blog, and design wing — Studio Proximity.
- Get behind the scenes with us on Instagram — follow @ProxWrks and @H.Jagda.
