Senior Staff Data Engineer

Flipkart · Bengaluru

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted21 Sept 2026
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About Flipkart

Flipkart is hiring in Bengaluru in ecommerce retail. This role looks for around 8+ years of experience.

Skills

  • Amazon Web Services
  • Apache Spark
  • Flink
  • Kafka
  • Scala
  • Java
  • Python
  • System Architecture
  • Data Engineering
  • High Availability
  • Scalability

The role

A data platform engineer at an e-commerce marketplace architects scalable data systems using Apache Spark, Databricks, and Amazon Web Services, and leads data engineering design and reliability. Builds petabyte-scale services with Kafka and mentors engineering teams on performance, quality, and cloud architecture.

Full job description

Responsibilities:

Architect and optimize solutions on AWS, including S3 EMR, Lambda, Glue, and other cloud-native services.

Drive adoption of Databricks for collaborative development, job scheduling, and performance tuning.

Lead and mentor a team of data engineers through design reviews, code reviews, and hands-on technical guidance.

Identify and address performance bottlenecks, data quality issues, and reliability gaps in the data ecosystem.

Passionate about technologies and open to interdisciplinary work.

Requirements:

7+ years of professional programming and design experience in Scala, Java, Python, etc.

5+ years of big data development experience with technical stacks like Spark, Flink, SingleStore, Kafka, and AWS big data technologies.

Strong knowledge of system/application design and architecture.

Experience building industry-level high availability and scalable services.

Experience with processing large amounts of data at the petabyte level.

Preferred Qualifications:

Experience managing or mentoring a team of data engineers.

Demonstrated ability with cloud infrastructure technologies, including Databricks, Terraform, K8S, Spinnaker, IAM, ALB, etc.

Experience with Snowflake, Kinesis, Lambda, etc.

Experience in microservice frameworks like Spring Boot, Spring Cloud, FastAPI, NestJS, etc.

Experience with Spark, Flink (or Spark Streaming), Airflow, Databricks, Scala (or Java), Python, AWS big data technologies, and Agile project management.