About Infinitive:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. . We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 7 times most recently in 2024. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”
Role Summary:Design, develop, and deploy ETL solutions using Ab Initio GDE, EME, and Co> Operating System.
Collaborate with data architects, analysts, and business stakeholders to understand requirements and translate them into technical specifications.
Perform data profiling, cleansing, and transformation to support data warehouse and reporting initiatives.
Develop and manage reusable components and frameworks within the Ab Initio ecosystem.
Monitor and troubleshoot ETL jobs for performance, data quality, and integrity.
Implement error handling, logging, and job recovery strategies.
Optimize ETL workflows for scalability and performance.
Maintain and manage metadata using Ab Initio Metadata Hub.
Support production deployment and incident resolution as part of the DevOps/Support team.
Document technical designs, unit tests, and deployment processes.
Bachelor’s degree in Computer Science, Information Systems, or related field.
4+ years of experience in ETL development with Ab Initio tools.
Strong knowledge of data warehousing concepts, data modeling, and ETL best practices.
Proficiency in SQL (Oracle, Teradata, or other relational databases).
Experience with Unix/Linux scripting and job scheduling tools (Autosys, Control-M, etc.).
Familiarity with version control and change management tools (Git, Jenkins, etc.).
Experience with Big Data platforms (Hadoop, Spark, HDFS).
Familiarity with cloud data platforms (AWS, Azure, or GCP).
Knowledge of data governance and data quality principles.
Experience working in Agile/Scrum environments.
Exposure to other ETL tools like Informatica, Talend, or DataStage.
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