1 - 3 Years

Are you passionate about solving roadblocks & challenges faced by MSMEs in India?

MSMEs contribute significantly to India’s total GDP. 90% of India’s ~$1 Trillion Retail Market is controlled by Micro, Small & Medium Enterprises (MSMEs). Which means ~$900B worth of commerce flows through these ~60M MSMEs in the form of shops/kiosks/homes, scattered all over the country. We at Khatabook, have a vision to empower MSMEs and help them increase their incomes. We have built a product that brings efficiency in MSME operations by providing them easy to use tools to manage their receivables, inventory and billing which creates transparency in their cash flow. Within the Khatabook platform, we have also enabled the facility to take loans for their short term working capital needs for select Khatabook users that are displaying good credit behaviour. Our app has been downloaded over 100 Million times with a monthly active user base of 8 Million+ which are adding 220 Million+ transactions with a transaction value of $18 Billion.

Why work with us?

People are our biggest asset! At Khatabook, every one of us is a dynamic superstar. We have carefully bred an ecosystem which hires nothing but incredibly and exceptionally talented people who can dream, collaborate, experiment, and break new ground. We’re a strong team that looks out for each other.

Your role:

We are seeking a highly skilled and innovative Data Engineer - 1 you’ll build and scale the data and ML foundations that power decisions for millions of merchants. You’ll work end-to-end on data pipelines and model systems, taking ideas from concept to production. The role offers exposure to large-scale, real-time data systems and modern cloud infrastructure. If you enjoy solving complex data problems with real business impact, this role is for you.

What would you do at Khatabook?

• Work on translating business needs to technical specifications and implement all stages right from data acquisition to integration, both batch and real-time

• Working with Different pieces of Data Engineering (Ingestion, Processing, Serving)

• Working on MLOps (Building self-serve systems around several model lifecycles) and working on the entire pipeline (from PoC to productionization) of Model & Data Versioning, Deployments.

• Working with Data Tools (CDC (Debezium/Kafka-Connect, Kafka, DBT, Airflow, Spark,Snowflake, Redash, Tableau) and Infra level tools (Kubernetes, Helm, Docker,Jenkins)

• Drive continuous improvements in moving, aggregating, profiling, sampling, testing terabytes of data

• Build data pipelines data processing tools and technologies in open source and proprietary products like MongoDB, Postgres, DynamoDB, Sftp etc.

• Develop and execute database queries and conduct analyses.

• Manage and maintain large scale systems for various Model deployments, Rudderstack (With a load of ~3-4B events/month)

• Harness operational excellence & continuous improvement with a can do attitude

What are we looking for ?

• 1+ years of experience with large scale data delivery platforms, working on modern data systems to support exponentially data growth.
• Experience with programming languages like Python, Java & scripting in Bash.
• Strong SQL optimization and performance tuning experience in a high volume data environment that utilizes parallel processing.
• Experience with version control systems (Github), deployment tools (Jenkins) and cloud platforms (AWS, GCP)
• Ability to work effectively in an unstructured and fast-paced environment both independently and in a team setting, with a high degree of self-management with clear communication and commitment to delivery timelines.
• Experience with Kubernetes is good to have