Engineering Manager - Data Platform

Meesho · Bengaluru

  • Experience9–13 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Meesho

Meesho is hiring in Bengaluru in ecommerce retail. This role looks for around 9+ years of experience.

Skills

  • Bachelor's degree
  • Computer Science
  • 8+ years of overall professional experience
  • 2+ years of experience managing software development teams
  • distributed systems
  • Scala
  • Java
  • Python
  • Go
  • Apache Spark
  • Delta Lake
  • Apache Iceberg
  • Apache Hudi
  • transactional databases
  • NoSQL databases
  • Kafka
  • cloud infrastructure
  • GCP
  • AWS
  • streaming and real-time data pipelines
  • data modeling
  • data quality
  • data validation tools
  • Tableau
  • Metabase
  • Superset
  • Apache Pinot
  • Apache Druid
  • ClickHouse
  • Apache Flink
  • Spark Streaming

The role

An engineering manager at an ecommerce marketplace develops distributed data platforms at scale, applying Apache Spark and Apache Kafka to streaming and real-time data pipelines. Expertise in Scala, Java, Python, or Go, along with Delta Lake and data modeling, supports reliable platform engineering and analytical workloads.

Full job description

Requirements:

Bachelor's or Master's degree in Computer Science or a related field.

8+ years of overall professional experience.

2+ years of experience managing software development teams.

Experience managing a high-performing team of engineers with varying seniority.

Proven ability to develop and implement distributed systems and platforms at scale.

Expertise in Scala, Java, Python, or Go.

Proficiency in Apache Spark and its core architecture, including platform-based optimization on Spark batch and streaming workloads.

Deep experience with Open Table Formats like Delta Lake, Apache Iceberg, or Apache Hudi.

Deep understanding of transactional and NoSQL databases.

Knowledge of messaging systems, especially Kafka.

Hands-on experience with cloud infrastructure, preferably GCP/AWS.

Good understanding of streaming and real-time data pipelines.

Expertise in data modeling, data quality, and utilizing data validation tools is essential.

Proficiency in Business Intelligence (BI) tools, including but not limited to Tableau, Metabase, and Superset.

Proficiency in Real-time OLAP engines (Apache Pinot, Apache Druid, or ClickHouse) and Stream Processing (Apache Flink or Spark Streaming).