When 5 of Indian households shop with us it s key to build data-backed resilient systems to manage millions of orders every day We ve done this - with zero downtime Sounds impossible Well that s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today We value speed over perfection and see failures as opportunities to become better We ve taken steps to inculcate a strong Founder s Mindset across our engineering teams making us grow and move fast We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication Tech Culture We have a unique tech culture where engineers are seen as problem solvers The engineering org is divided into multiple pods and each pod is aligned to a particular business theme It is a culture driven by logical debates arguments rather than authority At Meesho you get to solve hard technical problems at scale as well as have a significant impact on the lives of millions of entrepreneurs You are expected to contribute to the Solutioning of product problems as well as challenge existing solutions Meesho s user base has grown 4x in the last 1 year and we have more than 50 million downloads of our app Here are a few projects we have completed last year to scale oursystems for this growth We have developed API gateway aggregators using frameworks like Hystrix and spring-cloud-gateway for circuit breaking and parallel processing Our serving microservices handle more than 15K RPS on normal days and during saledays this can go to 30K RPS Being a consumer app these systems have SLAs of 10ms Our distributed scheduler tracks more than 50 million shipments periodically fromdifferent partners and does async processing involving RDBMS We use an in-house video streaming platform to support a wide variety of devices and networks What You ll Do Design and implement scalable and fault-tolerant data pipelines batch and streaming using frameworks like Apache Spark Flink and Kafka Lead the design and development of data platforms and reusable frameworks that serve multiple teams and use cases Build and optimize data models and schemas to support large-scale operational and analytical workloads Deeply understand Apache Spark internals and be capable of modifying or extending the open-source Spark codebase as needed Develop streaming solutions using tools like Apache Flink Spark Structured Streaming Drive initiatives that abstract infrastructure complexity enabling ML analytics and product teams to build faster on the platform Champion a platform-building mindset focused on reusability extensibility and developer self-service Ensure data quality consistency and governance through validation frameworks observability tooling and access controls Optimize infrastructure for cost latency performance and scalability in modern cloud-native environments Mentor and guide junior engineers contribute to architecture reviews and uphold high engineering standards Collaborate cross-functionally with product ML and data teams to align technical solutions with business needs What We re Looking For 5-8 years of professional experience in software data engineering with a focus on distributed data systems Strong programming skills in Java Scala or Python and expertise in SQL At least 2 years of hands-on experience with big data systems including Apache Kafka Apache Spark EMR Dataproc Hive Delta Lake Presto Trino Airflow and data lineage tools e g Datahb Marquez OpenLineage Experience implementing and tuning Spark Delta Lake Presto at terabyte-scale or beyond Strong understanding of Apache Spark internals Catalyst Tungsten shuffle etc with experience customizing or contributing to open-source code Familiarity and worked with modern open-source and cloud-native data stack components such as Apache Iceberg Hudi or Delta Lake Trino Presto DuckDB or ClickHouse Pinot Druid Airflow Dagster or Prefect DBT Excellent Expectations DataHub or OpenMetadata Kubernetes Terraform Docker Strong analytical and problem-solving skills with the ability to debug complex issues in large-scale systems Exposure to data security privacy observability and compliance frameworks is a plus Good to Have Contributions to open-source projects in the big data ecosystem e g Spark Kafka Hive Airflow Hands-on data modeling experience and exposure to end-to-end data pipeline development Familiarity with OLAP data cubes and BI reporting tools such as Tableau Power BI Superset or Looker Working knowledge of tools and technologies like ELK Stack Elasticsearch Logstash Kibana Redis and MySQL Exposure to backend technologies including RxJava Spring Boot and Microservices architecture About us Welcome to Meesho where every story begins with a spark of inspiration and a dash of entrepreneurial spirit We re not just a platform we re your partner in turning dreams into realities Curious about life at Meesho Our people have a lot to say and they ve made us the top-rated e-commerce workplace on Glassdoor Our Mission Democratising internet commerce for everyone- Meesho Meri shop started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost Over 1 75 million sellers are registered on Meesho growing their business by tapping the company s massive customer base state-of-the-art tech infrastructure pan-India logistics at the lowest cost through third-party logistics providers in an Everyday Lowest Cost channel for sellers Affordable relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country We cater to an underserved and unique customer base and cover every serviceable pincode in the country Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence We prioritize a people-centric culture dedicated to hiring and developing exceptional talent Total rewards at Meesho comprises of a comprehensive set of elements - monetary non monetary tangible and intangible in nature Our 11 guiding principles or Mantras are the backbone of how we operate - influencing everything from recognition and evaluation to growth discussions Daily rituals processes like Reflections Listen or Die Internal Mobility Program Talent Reviews Continuous Performance Management - all embody these principles We provide market leading compensation - both cash and equity-based - specific to job roles individual experience and skill along with our employee centric benefits and work environment We focus extensively on holistic wellness - through our MeeCare Program - encompassing perks and policies across physical mental financial and social wellness aspects This includes extensive medical insurance benefits for employees and their families wellness initiatives like telehealth wellness events and gym recreational discounts etc To support work-life balance we provide generous leave policies parental support benefits retirement benefits and learning and development assistance Through gratitude for stretched work personalized gifts engagement fun at work - we promote employee delight at the workplace Many other benefits such as salary advance support relocation assistance and flexible benefits plans further enrich the Meesho employee experience Know more about Meesho here https www meesho io

📌 Software Development Engineer Iii Data (Karnataka)
🏢 Meesho
📍 Karnataka