Key responsibilities
Develop and maintain Spark applications using Scala for high-volume data processing.
Build and optimise batch and streaming data pipelines, including performance tuning and troubleshooting.
Work with data engineers, architects and product teams to deliver robust data solutions in an agile workplace.
Support testing, deployment and operational readiness using CI/CD, version control and engineering best practices.
Contribute to documentation, knowledge transfer and handover to permanent engineering teams.

Essential skills and experience
Solid hands-on experience developing with java, Apache Spark and Scala.
Valuable understanding of distributed data processing, data pipelines,
ETL/ELT and performance optimisation.
Experience with Hadoop, Cloudera, AWS or GCP data platforms is desirable.
Familiarity with Kafka, SQL, Python, Git, Jenkins or similar CI/CD tooling would be beneficial.
Ability to work independently as a contractor, integrate quickly with an existing team and deliver against agreed outcomes.

Location - Kolkata, Hyderabad, Bangalore, Chennai, Delhi / NCR

📌 Data Engineer Spark & Scala/ Scala, Apache Spark Kolkata (India)
🏢 Jero Technologies
📍 India