We are a passionate team of hackers, tinkerers and builders on a mission to bring financial services to the next billion Indians. The infrastructure for distribution and access of financial services in India is broken and we are fixing it one API at a time.
You will work in a high growth early-stage environment with constant change and chaos. You will go shoulder to shoulder with colleagues who have previously worked at Uber, Amazon and Goldman Sachs.
The Data Engineering team designs, builds and maintains the data infrastructure to ingest billions of data points per day. The team uses with Apache Spark, Kafka, Cassandra, Serverless to bring near real time insights and credit scores to millions of Indians.
Build Data Pipelines using tools such as Airflow
Setup testing framework(s) for data pipelines to ensure reliability of code pushes
Write data warehouse cluster management scripts
Create metrics to monitor our real time pipeline and batch pipelines
Design solutions to reduce latency and increase throughput of the pipeline
Write and optimize Apache Spark code
Enable data scientists to access relevant data easily
Put machine learning models into production
3+ years of full-time, relevant industry experience
Working with data at the terabyte scale
Design and operation of robust distributed systems
Experience with Java / Scala is preferred
Strong scripting ability in Ruby / Python / Bash
Working knowledge of relational databases and query authoring (SQL)
Love to use and develop open source technologies like Kafka, Hadoop, Hive, Presto, and Spark
Rigor in high code quality, automated testing, and other engineering best practices
Centrally Located - Lit office space in the heart of Koramangala - Video games and sleeping pods
Fitness Credits - Complimentary Gym / Cult Membership
Health Cover - Medical Insurance for self and dependent family members
Learning Stipend- Free access to tech meetups, online courses and conferences
Gadgets - High quality Macbooks, monitors, whatever you need
Please include a links to the apps that you have developed in the past. If parts of your portfolio contain group work, please explain your role in the project.
P.S. If you have stumbled on this and think that a friend is perfect for this position, refer at firstname.lastname@example.org. We wouldn’t be able to thank you enough! And would share a very cool (and high quality) T-shirt on a successful referral conversion.