
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.

About Proximity Works
About
We are Proximity - a global team of coders, designers, product managers, geeks and experts. We solve hard, long-term engineering problems and build cutting edge tech products.
About us
Born in 2019, Proximity Works is a global, fully distributed tech firm headquartered in San Francisco - with hubs across Mumbai, Dubai, Toronto, Stockholm, and Bengaluru. We’re in the business of solving high-stakes engineering challenges with AI-powered solutions tailored for industries like sports, media & entertainment, fintech, and enterprise platforms. From real-time game analytics and ticketing workflows to creative content generation, we help build software that serves millions every day.
About the Founders
At the helm is Hardik Jagda, CEO - a technologist with a startup DNA who brings clarity to complexity and a passion for building delightful experiences.
Milestones & Impact
- Trusted by some of the world’s biggest players - from major media & entertainment giants to one of the world’s largest cricket websites and the second-largest stock exchange in the world.
- Delivered game-changing tech: slashing content creation by 90%, doubling performance metrics for NASDAQ clients, and accelerating speed/performance wins for platforms like Dream11.
Culture & Why It Matters
- Fully distributed and flexible: work 100% remotely, design your own schedule, build habits that work for you and not the other way around.
- People-first culture: Community events, “Proxonaut battles,” monthly off-sites, and a liberal referral policy keep us connected even when we’re apart.
- High-trust environment: autonomy is encouraged. You’re empowered to act, learn fast, and iterate boldly. We know great work comes when talented people have space to think and create.
Company video


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