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Datastage/ Python developer

Judge Group, Inc.Columbus, OH🇺🇸United StatesPosted 25 Aug 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your DataStage and Python skills in a dynamic environment, contributing to innovative data solutions and expanding your big data and cloud expertise. You'll thrive here if you enjoy building robust data pipelines and collaborating within a supportive team to drive impactful projects. Apply now to join a reputable company and advance your career in data development.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Columbus, OH, United States
Posted
Yesterday
EchoOracleScalaShellAWSETLSnowflakeHadoopHiveJavaKafkaPigPython

Job Description

Location: Columbus, OH Salary: Depends on Experience Description:
Job Description:

  • Develop Shell scripts for automation of the data flow process and ETL orchestration pipeline.
  • Implement ETL transformations using DataStage, Hadoop Big data technologies like Spark-Scala/Spark-Java, Hive, or Pig based on the business use case.
  • Develop One-time/On-demand data Extractions from the data marts in the database systems for the business users for analytical purposes.
  • Direct Podium for end-to-end data management.
  • Develop automation and ETL jobs to schedule data processing utilities using reusable ETL components and frameworks of the data pipelines.
  • Implement Data profiling, Data quality, and Data standardization for all the workflows based on EDM standards (Enterprise Data Management).
  • Build Hadoop Data Lake for analytics using Hadoop echo system.
  • Migrate tables from traditional RDBMS into Data Lake using Sqoop.
  • Transfer real-time data from different data sources into HDFS systems using Kafka producers, consumers, and Kafka brokers.
  • Use cloud-native development, micro-services architecture, operations, and governance framework to gather required technical data for purposes of formulating recommended customization of AWS.
  • Perform Unit and regression testing, prepare unit test case documents for comparing the results with business requirements.
  • Ensure the technical implementations are in line with the requirements and specifications.
  • Help Quality Analyst Team in preparing a comprehensive test plan to ensure proper functioning of the application for the zero-defect delivery for the continuous integration and deployment to the production.
  • Prepare Technical Specification documents that explain the technical solutions and list the technologies to be used while implementing the solution.
  • Prepare data models to be certain that the data objects are represented accurately by the ETL and Data engineering software and application tools.
  • Participate in business requirement meetings, perform requirement, and impact analysis with Business Analysts.
  • Coordinate with business users to understand the data sources/entities.
  • Design the on-prem or cloud data warehousing models using ETL tools such as IBM Infosphere Data Stage, Oracle, Python, and cloud platforms such as Snowflake and AWS (Amazon Web Services)
  • Create Technical design documents as part of project deliverables.
  • Analyse Teradata databases to design extract strategies into Big data and cloud platforms.
  • These duties are complex and require at least a bachelor's degree in computer science or a related field.


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