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Software Development Engineer III Data

Software Development Engineer III Data

Meesho

1 - 6 years

3 - 8 Lacs

bengaluru

Posted:None| Platform:

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Skills Required

scala sql java spark python hive kubernetes emr redis microservices docker spring logstash elastic search apache mysql big data kibana airflow power bi data engineering apache flink dataproc spring boot tableau druid kafka terraform rxjava presto

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 Youll 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 Were 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, Great 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

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Software Development Engineer III Data