Ocient

Data Engineer – Mainframe to Cloud Modernization

Ocient

full-time

Posted on:

Location Type: Remote

Location: India

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Job Level

Junior

Tech Stack

ApacheCloudGoogle Cloud PlatformPySparkPythonSparkSQL

About the role

  • Develop, enhance, and troubleshoot Mainframe batch processes using JCL, Easytrieve, and SAS.
  • Build and maintain automation and data processing scripts using Python.
  • Support distributed data processing workloads using Apache Spark and the PySpark API.
  • Write efficient SQL queries for data extraction, analysis, and transformation.
  • Work with Google Cloud Platform (GCP) services - primarily Cloud Storage - for data movement and storage management.
  • Collaborate with data analysts, engineers, and business teams to support data initiatives and enhance data workflows.
  • Participate in documentation, code reviews, and best practices for data and code quality.
  • Investigate data issues, perform root-cause analysis, and implement corrective actions.

Requirements

  • 1–2 years of experience in Mainframe technologies:
  • JCL, Easytrieve, SAS
  • 1–2 years of experience with:
  • Python for scripting and automation
  • Apache Spark with familiarity in PySpark
  • SQL for data manipulation and querying
  • Basic working knowledge of GCP, especially:
  • Cloud Storage (bucket operations, file upload/download, permissions)
  • General GCP console navigation and IAM basics
  • Strong analytical thinking, debugging ability, and problem-solving mindset.
  • Good communication skills and ability to work effectively in collaborative environments.
Benefits
  • Flexible work arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
JCLEasytrieveSASPythonApache SparkPySparkSQL
Soft Skills
analytical thinkingdebuggingproblem-solvingcommunicationcollaboration