Datastage Developer with Python and banking
3 days ago
Bank
Columbus OH OR Detroit MI
4 days a week onsite
Needed ASAP
Contract to hire
Must work on W2
NO C2C
Datastage Developer- MUST Have python as well.
Position Summary:
Bank's
IT Corporate Finance Regulatory Reporting
team is seeking a highly skilled and motivated
Technical Specialist – DataStage Lead
to support our enterprise data integration and regulatory reporting initiatives. This role is essential in ensuring the accuracy, efficiency, and compliance of our financial data pipelines and reporting systems.
Key Responsibilities:
- Lead the design, development, and maintenance of ETL processes using IBM DataStage.
- 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 in a timely manner, ensuring minimal impact to business operations.
- Participate in change management processes, including planning, documentation, and execution of changes.
- Attend and contribute to project and team meetings, providing technical insights and updates.
- Ensure compliance with internal standards, security policies, and regulatory requirements.
- Mentor junior team members and provide technical leadership within the team.
Required Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 5+ years of experience in ETL development with IBM DataStage.
- 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
Preferred Qualifications:
- Experience in the 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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