We are looking for insight-driven Data Engineers, not pure ETL builders, to help build and scale the data pipelines and core analytical 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 — from raw events to insights, feedback loops, and decisions. You will work closely with Product, Data Science, Infrastructure, Marketing, Finance, and AI/Research teams to ensure data is reliable, interpretable, and outcome-oriented as the platform scales rapidly.
At Proximity, you won’t just move data — your work will directly influence how AI systems learn, adapt, and improve, and how leaders make product and business decisions.
Responsibilities- Design, build, and manage scalable data pipelines, ensuring high-fidelity user event and system data is reliably ingested into the data warehouse and streaming systems.
- Develop and maintain canonical, analytics-ready datasets to track key product and business metrics such as:
- user growth
- engagement & retention
- cohorts & behavioral patterns
- revenue & conversion funnels
- Think beyond pipelines — structure data to enable insights, experimentation, and feedback loops that improve both models and product decisions.
- Collaborate with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams to translate business questions into well-modeled, trustworthy datasets.
- Implement robust, fault-tolerant systems for batch and streaming ingestion, transformation, and processing.
- Participate actively in data architecture decisions, balancing scalability, cost, latency, and analytical flexibility.
- Ensure data security, integrity, and compliance in line with company policies and industry standards.
- Monitor pipeline and streaming job health, troubleshoot failures, and continuously improve reliability, performance, and data quality.
- Thinks in architecture, feedback loops, and outcomes, not pipelines alone.
- Can structure data models that improve:
- AI model evaluation
- decision-making
- experimentation and learning velocity
Communicates in terms of impact and insights, not only jobs and tables.
Requirements
- 3–5 years of professional experience working as a Data Engineer or in a similar role.
- Strong proficiency in Python for data processing and orchestration.
- Solid hands-on experience with Apache Spark, including writing, debugging, and optimizing Spark jobs.
- Experience with distributed data processing and storage systems.
- Strong understanding of data pipeline design for analytics, reporting, and ML workflows.
- Experience working closely with cross-functional teams with diverse data needs.
- 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.
- 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.
- Strong Plus - GCP Dataflow, BigQuery, Google Analytics / Data Analytics tooling
- Experience designing datasets for experimentation or ML feedback loops
- Exposure to data quality, validation, or schema management frameworks
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.
About usWe 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.
