About Simpleenergy
Simpleenergy specializes in the manufacture of smart electric two-wheelers. We are a team of300+ 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 Engineering Lead
Location: Yelahanka, Bangalore
Experience: 5-8 years
About The Job
We're looking for a Data Engineering Lead to own and scale our real-time + batch data platform. You'll lead a small team, drive architecture decisions, and build reliable pipelines powering analytics, product features, and operational insights.
What You'll Do
- Lead end-to-end development of streaming pipelines (Kafka Flink) and batch processing (Spark)
- Design scalable ETL/ELT workflows, data models, and storage strategies (data lake / warehouse)
- Build and operate distributed systems with strong reliability, monitoring, and cost-performance focus
- Own pipeline SLAs: data quality, latency, backfills, retries, and schema evolution
- Mentor engineers, set best practices, conduct reviews, and coordinate delivery across teams
What You Bring- Strong hands-on experience with Kafka, Flink, and Spark (streaming + batch)
- Solid understanding of distributed systems and data engineering fundamentals
- Proven track record building production-grade ETL pipelines at scale
- Team leadership: mentoring, planning, ownership, and stakeholder communication
- Good to have
- Experience with data lakes (Parquet/Delta/Iceberg) and/or warehouses (BigQuery/Snowflake)
- Observability: metrics, tracing, alerting, and incident response for data platforms
- Cloud experience (AWS/GCP) and containerized deployments (K8s)
Skills: data engineering,aws,data,kafka,pipelines,spark,etl,flink
