Meesho - Software Development Engineer II - Real Time Data Streaming (2-5 yrs)

About the Role :

Does digging deep for data and turning it into useful, impactful insights get you excited? Then you could be our next SDE II Data-Real Time Streaming. In this role, youll oversee your entire teams work, ensuring that each individual is working towards achieving their personal goals and Meeshos organisational goals. Moreover, youll keep an eye on all engineering projects and ensure the team is not straying from the right track. Youll also be tasked with directing programming activities, evaluating system performance, and designing new programs and features for smooth functioning.

What you will do :

- Build a platform for ingesting and processing multi terabytes of data daily.

- Curate, build and transform raw data into scalable information

- Create prototypes and proofs-of-concept for iterative development

- Reduce technical debt with quality coding

- Keep a closer look at various projects and monitor the progress

- Carry on smooth collaborations with the sales team and engineering teams

- Provide management mentorship which sets the tone for holistic growth

- Ensure everyone is on the same page and taking ownership of the project

What you will need :

- Bachelors/Masters degree in Computer Science

- At least 2 to 5 years of professional experience

- Exceptional coding skills using Java, Scala, Python

- Working knowledge of Redis, MySQL and messaging systems like Kafka

- Knowledge of RxJava, Java Springboot, Microservices architecture

- Hands-on experience with the distributed systems architecture dealing with high throughput.

- Experience in building streaming and real-time solutions using Apache Flink/Spark Streaming/Samza.

- Familiarity with software engineering best practices across all stages of software development

- Expertise in Data system internals

- Strong problem-solving and analytical skills

- Familiarity with Big Data systems (Spark/EMR, Hive/Impala, Delta Lake, Presto, Airflow, Data Lineage) is an advantage

- Familiarity with data modeling, end-to-end data pipelining, OLAP data cubes and BI tools is a plus

- Experience as a contributor/committer to the Big data stack is a plus

- Having been a contributor/committer to the big data stack

- Data modeling experience and end-to-end data pipelining experience is a plus

- Brownie points for knowledge of OLAP data cubes and BI tools