Role: Senior ETL Informatica IDMC Engineer
Location: San Antonio, TX -100% onsite FROM DAY 1
Duration: 6 months
Rate: $50/hr on C2C
Job Summary
We are looking for an experienced Senior ETL / Informatica IDMC Engineer with 7+ years of experience in data integration and ETL development.
The ideal candidate will have strong hands-on experience with Informatica Intelligent Data Management Cloud (IDMC) and Teradata, along with basic Python skills.
The candidate should be comfortable working in a collaborative banking/data environment, coordinating with multiple technology and business teams, and providing production support when required.
Required Skills & Experience
7+ years of experience in ETL/data integration development.
Strong hands-on experience with Informatica IDMC / Informatica Cloud Data Integration (CDI).
Strong Teradata experience.
Strong SQL development and troubleshooting skills.
Experience working with flat files, relational databases, and enterprise data warehouses.
Understanding of ETL concepts including transformations, lookups, joins, aggregations, error handling, and data reconciliation.
Basic Python programming/scripting knowledge.
Experience working in Agile or enterprise development environments.
Strong problem-solving and troubleshooting skills.
Good written and verbal communication skills.
Ability to collaborate effectively with multiple teams.
Preferred / Nice-to-Have Skills
Previous experience in the banking or financial services domain.
Knowledge of banking data, transactions, accounts, customers, payments, or regulatory data.
Experience with data warehouse and enterprise data platforms.
Experience with ETL production support and incident management.
Knowledge of cloud-based data integration and modern data platforms.
Experience with scheduling and monitoring ETL jobs.
Key Responsibilities
Design, develop, test, and maintain ETL/data integration solutions using Informatica IDMC.
Develop and maintain mappings, mapplets, workflows, and data integration processes.
Work extensively with Teradata for data extraction, transformation, loading, and validation.
Write and optimize SQL queries for data analysis, reconciliation, and troubleshooting.
Perform data validation, reconciliation, and root-cause analysis for ETL/data quality issues.
Troubleshoot production issues and coordinate with upstream/downstream application teams.
Work closely with business analysts, data architects, QA teams, application teams, and other technology teams.
Participate in deployments, release activities, and production support.
Develop basic Python scripts for automation, data validation, file processing, or operational tasks.
Understand and follow enterprise data management, security, and development standards.
Document technical solutions, data flows, and operational procedures.
Participate in on-call or weekend support activities when required.
Professional Expectations
Demonstrates a positive and collaborative attitude.
Communicates clearly and professionally with technical and non-technical teams.
Takes ownership of assigned tasks and production issues.
Able to work effectively across multiple teams and time zones.
Demonstrates flexibility when business or production requirements change.
Occasional evening/weekend support may be required based on production needs and support schedules.
Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience.
Thanks & Regards:
John H
Sr Recuiter
Nam Info Inc
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