Data Engineer

Job Description

About Simpleenergy Simpleenergy specializes in the manufacture of smart electric two-wheelers. We are a team of 300+ engineers coming together to make smart, supercharging, and affordable two-wheelers. The company was founded in 2019 and is based in Bangalore, India. Our mission is to build the future of mobility that is electric and connected. We at Simple energy are working towards accelerating by making them more accessible, affordable, secure and comfortable and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Job description: Data Engineer Location: Yelahanka, Bangalore About The Gig We’re on the lookout for a Data Engineer who loves building scalable data pipelines and can dance with Kafka and Flink like they’re on their playlist. If Spark is your old buddy, even better—but it’s not a deal-breaker. What You’ll Do Design, build, and maintain real-time and batch data pipelines using Apache Kafka and Apache Flink. Ensure high-throughput, low-latency, and fault-tolerant data ingestion for telemetry, analytics, and system monitoring. Work closely with backend and product teams to define event contracts and data models. Maintain schema consistency and versioning across high-volume event streams. Optimize Flink jobs for memory, throughput, and latency. If you know a little Spark, help out with batch processing and offline analytics too (we won’t complain) Ensure data quality, lineage, and observability for everything that flows through your pipelines. What You Bring 3+ years of experience as a data/backend engineer working with real-time or streaming systems. Hands-on experience with Kafka (topics, partitions, consumers, etc.). Experience writing production-grade Flink jobs (DataStream API preferred). Good fundamentals in distributed systems, partitioning strategies, and stateful processing. Comfortable with any one programming language – Java, Scala, or Python. Basic working knowledge of Spark is a plus (optional, but nice to have). Comfortable working in a cloud-native environment (GCP or AWS). 🎁 Bonus Points Experience with Protobuf/Avro schemas and schema registry. Exposure to time-series data (we live and breathe CAN signals). Interest in vehicle data, IoT, or edge computing. Why Simple Energy? You’ll build pipelines that move billions of records a day from electric vehicles across India. You’ll be part of a lean, fast-moving team where decisions happen fast and learning is constant. Your code will directly impact how we track, monitor, and improve our vehicles on the road. Zero fluff. Full impact. Skills: scala,cloud-native environments,time-series data,data quality,java,avro,batch data pipelines,pipelines,apache flink,data ingestion,flink,kafka,data lineage,distributed systems,gcp,python,real-time data pipelines,aws,data,protobuf,apache kafka Show more Show less