Fullstack Engineer

Roles and Responsibilities:

• Develop and maintain

  batch data pipelines

  using

  Apache Spark

  and

  Databricks notebooks

• Build

  streaming applications

  with

  Spark Streaming

  and

  Kafka

• Implement

  Kafka Streams

  for near real-time processing in

  Scala-based microservices

• Design and orchestrate

  ETL workflows

  using

  Azure Data Factory (ADF)

• Write optimized

  SQL queries

  for data transformation and reporting
• Develop backend services in

  Scala

  and

  Java

  , following clean architecture principles
• Use

  Git

  for version control and

  Maven/Gradle

  for build automation
• Monitor and troubleshoot systems using

  Grafana

  and

  Grafana Loki

• Integrate with

  Collibra

  for metadata management and governance
• (Nice to have) Build frontend components using

  JavaScript

  and

  React

Preferred candidate profile

• 36 years of experience in full stack or data engineering roles
• Strong hands-on experience with

  Scala

  ,

  Spark

  , and

  Kafka

• Familiarity with

  Databricks

  and

  ADF

  in cloud environments (preferably Azure)
• Exposure to

  metadata tools

  like Collibra
• Bonus: Experience with

  React

  and

  JavaScript

  for frontend development
• Excellent problem-solving, debugging, and communication skills