ETL - Datastage Lead Developer Job at Cloud Analytics Technologies LLC, Columbus, OH

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  • Cloud Analytics Technologies LLC
  • Columbus, OH

Job Description

Job Details


Position Summary

We are seeking a highly skilled  DataStage Lead with Python to join our IT Corporate Finance Regulatory Reporting team. This role will initially focus on IBM DataStage for ETL processes but will transition to Python development over the next 1 2 years. The ideal candidate will have strong experience in both technologies and a passion for building efficient, compliant data solutions.

Key Responsibilities
  • Lead the design, development, and maintenance of ETL processes using IBM DataStage and Python.
  • Collaborate with data architects, business analysts, and compliance teams to create and maintain technical design documents.
  • Develop and optimize SQL queries and scripts for Snowflake and other relational databases.
  • Write and maintain Unix shell scripts to support automation and data processing tasks.
  • Manage and resolve incidents promptly to minimize business impact.
  • Participate in change management processes, including planning, documentation, and execution.
  • Provide technical insights during project and team meetings.
  • Ensure compliance with internal standards, security policies, and regulatory requirements.
  • Mentor junior team members and provide technical leadership.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 5+ years of experience in ETL development with IBM DataStage and Python.
  • Strong experience with Snowflake or other cloud-based data platforms.
  • Proficiency in Unix/Linux shell scripting.
  • Solid understanding of relational databases and SQL.
  • Experience with incident and change management processes (ITIL framework preferred).
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work onsite 4 days a week in Columbus, OH.
Preferred Qualifications
  • Experience in banking or financial services industry.
  • Familiarity with Agile methodologies and DevOps practices.
  • Knowledge of data governance and data quality best practices.

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