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Scala and Spark Data Engineer

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Onsite

Scala and Spark Data Engineer

Swits Digital

Scala and Spark Data Engineer

Skills

SQL QueriesBig DataData EngineeringDockerPythonJavaMicroservicesMicrosoft SQL ServerKafkaScalaOracleHadoop

23 days ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


Job Title: Scala & Spark Data Engineer - Location - Mumbai - (Hybrid 3days a week)

Lookiing for Immediate Joiners / Serving Notice Peroid.

Required Skills & Experience

  • Strong commercial experience in Core Java development, with excellent proficiency in Java programming and object-oriented design.
  • Experience working with functional programming concepts and languages.
  • Hands-on experience with Scala programming, or a strong willingness and ability to develop expertise in Scala.
  • Fundamental understanding of Microservices architecture and distributed application design.
  • Strong experience working with distributed caching technologies and relational databases, preferably Sybase, Oracle, or Microsoft SQL Server.
  • Good understanding of middleware and messaging technologies, including IBM MQ and Apache Kafka.
  • Strong analytical and problem-solving skills with the ability to work on scalable and high-performance data solutions.

Desired Skills & Experience

  • Hands-on experience with Big Data technologies, particularly Hadoop and Apache Spark.
  • Experience developing cloud-ready applications and working with Docker/containerized environments.
  • Understanding of Reactive Programming and asynchronous, event-driven application development.
  • Experience with Data Modeling, database design, and data processing solutions.
  • Good understanding of the full Software Development Life Cycle (SDLC), from requirements and development through testing, deployment, and support.
  • Experience working in Agile teams and familiarity with DevOps practices, tools, and methodologies.
  • Experience with automation and scripting, with Python as a preferred language.
  • Hands-on experience with Continuous Integration (CI) systems and automated build/deployment processes.

Key Technology Stack

Mandatory / Core:
Java | Scala | Functional Programming | Microservices | Distributed Caching | SQL Databases | Sybase | Oracle | MS SQL Server | MQ | Kafka

Good to Have:
Spark | Hadoop | Docker | Cloud | Reactive Programming | Data Modeling | Python | Agile | DevOps | CI/CD

Preferred Profile

The ideal candidate should have strong Core Java development experience combined with exposure to Scala, functional programming, distributed systems, and data engineering. Experience with Spark, Hadoop, Kafka, Docker, cloud-ready development, and CI/CD will be an added advantage.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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