Vacancy description
Zeno
$11 USD
India, Bengaluru
Data Engineer (AWS, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
About Zeno An unprecedented energy transition has begun. To meet 2040 net zero goals, over 2 billion electric two-wheelers (motorcycles) must be sold and $11 trillion in fuel consumption replaced. Zeno is building a tech platform to electrify this two-wheeler market, currently responsible for more than 4% of the world's GHG emissions. Our mission is to accelerate the energy transition and democratize the benefits across Africa, India, and Latin America. With a focus on East Africa as a starting point, Zeno is building a new energy ecosystem with ground-up development of a fundamentally better electric motorcycle and associated battery swap network to drive a better experience for our customers.
We are looking for audacious, creative, and committed people to join us on this important mission. You will be joining a bold team consisting of leading engineers, operators, and entrepreneurs hailing from companies that include Tesla, Apple, Google, SRAM, Ola Electric, Dott, LiveWire, Lucid, Bolt, Microsoft, SafeBoda, Sun Mobility, among many others. Zeno has just closed its seed round with Lowercarbon, Silicon Valley's leading climate tech venture fund, Toyota Ventures, the VC of the world's largest automotive company, and 4DX Ventures, a leading early-stage investor in Africa.
Zeno is seeking a highly skilled and hands-on Data Engineer to design, build, and scale our global data ecosystem. Sitting within our core Global Insights Node , this role is not a traditional corporate dashboard-building job. You will bridge the gap between heavy hardware telematics and high-fidelity operational intelligence.
You will design and build a resilient, local-first data architecture capable of handling high-frequency telemetry from moving vehicles and distributed battery swap stations operating in environments with variable network connectivity.
Data Architecture & Edge Ecosystem Design
Design, build, and maintain a highly resilient, scalable data architecture capable of syncing, storing, and processing massive datasets from both centralized cloud services and distributed edge devices (battery swap stations and vehicles).
Establish robust strategies for partition tolerance and local-first data caching to handle intermittent cellular connectivity in emerging markets.
High-Performance Pipeline Development
Develop, test, and optimize batch and stream-processing pipelines to handle real-time IoT telematics, state-of-charge tracking, and transactional business data.
Build efficient ingestion mechanisms from internal systems, IoT hardware modules, APIs, and third-party operational platforms using languages like Go, Rust, or Python.
Constantly challenge the data-stack status quo. Focus on building lightweight, cost-effective, and highly performant data systems, selecting tools based on architectural suitability rather than industry hype.
Optimize data storage layouts, partitioning schemes, and query mechanics to handle high data volumes with minimal latency and infrastructure cost.
Unified Semantics & Intelligence Enablement
Architect clean, well-documented semantic layers and structured transformations (using SQL and modern modeling frameworks) to expose reliable datasets.
Support both traditional analytical queries (BI dashboards in Grafana, Looker, or Kibana) and downstream machine learning and automated agentic pipelines.
Data Quality, Reliability & Observability
Implement strict data validation, monitoring, and proactive alerting frameworks to ensure absolute consistency and accuracy across the network.
Define and maintain strict access control, governance, and data privacy standard practices across the global insights platform.
Engineering Hygiene & DevOps
Packaged and deploy data services using Docker and Kubernetes.
Maintain elegant CI/CD automation pipelines for data code deployments and infrastructure-as-code updates.
Ensure impeccable Git/version control hygiene (clean commit histories, thorough documentation, and rigorous peer code reviews).
You are energized by physical constraints (like network drops or limited hardware memory) and prefer elegant, custom-tailored solutions over bloated, off-the-shelf enterprise software.
Strong programming fundamentals in systems-adjacent or highly performant languages ( Go, Rust, or Python ) alongside advanced mastery of SQL .
IoT & Telematics Experience: Proven experience dealing with high-volume, time-series, or streaming telematics/IoT data.
Hands-on experience with modern streaming and orchestration tools (such as Kafka, Redpanda, Airflow, Spark, or Beam) and an understanding of how to run them efficiently.
Practical experience leveraging cloud-native data warehouses or lakehouses (such as BigQuery, Snowflake, ClickHouse, or Redshift) for high-performance analytics.
Cloud & DevOps Foundations: Solid working knowledge of cloud ecosystems (AWS and/or GCP) and experience deploying robust services via Docker and Kubernetes.
Data Advocacy: Exceptional communication skills with the ability to articulate complex data schemas, structural bottlenecks, and analytical tradeoffs to both hardware engineers and business operations teams.
Competitive Salary: Highly competitive base salary based on your experience and technical capabilities.
Comprehensive Health Coverage: Company-sponsored healthcare plan for you and your dependents.
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