Hiring: Ab Initio Developer Company: Deloitte Location: Princeton, NJ Job Posted Time: 2026-09-17 06:36:03 Employment Type: Remote Target Skills & Keywords : Agile, Airflow, Azure DevOps, CI/CD, Data Pipeline, Data Warehouse, ETL, Git, Java, Jenkins, Kafka, Linux, Oracle Database, PL/SQL, Quality Assurance, SQL, Shell, Snowflake, Spring Boot About the job Experience: •4+ years of data engineering and ETL development experience. •4+ years of hands-on experience developing complex, high-volume ETL pipelines directly on the Ab Initio platform. Required Skills: •,you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. •As an Ab Initio ETL Developer, you will design, build, and optimize high-volume data integration pipelines for financial services clients. •In this client-facing technical role, you will leverage your deep expertise in the Ab Initio platform and Oracle databases to process massive enterprise datasets securely and efficiently. •Bridge the gap between business needs and technical execution by collaborating tightly with data architects and business analysts. •By translating complex requirements into scalable technical solutions, you will ensure seamless source-to-target data integration while maintaining the agility to navigate shifting deadlines and unexpected changes within a fast-paced, highly regulated environment. Qualifications: •Understanding of enterprise data warehousing methodologies (e.g., Kimball, Inmon) and dimensional modeling techniques (Star and Snowflake schemas) to build and populate efficient data structures. •Hands-on experience integrating ETL deployments into modern Continuous Integration/Continuous Deployment (CI/CD) pipelines utilizing version control and automation tools such as Git, Jenkins, or Azure DevOps. •Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience •Limited immigration sponsorship may be available •Demonstrated capacity to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel. •High-Volume Data Handling: Demonstrated expertise in applying necessary optimizations for high-volume data processing, ensuring robust performance and stability across enterprise pipelines. •Finance & Banking Data Domain: Familiarity with finance and banking data domains, including hands-on experience in the complex transformation, mapping, and rigorous validation of financial datasets. •Communication Skills: Consistently demonstrates clear and concise written and verbal communication skills, with the ability to articulate complex technical concepts to both engineering teams and business stakeholders. •Resilience & Problem Solving: Exceptional ability to work under pressure, manage competing deadlines, and maintain delivery excellence amidst shifting project priorities. •Big Data & Enterprise Data Warehousing: Proven experience working directly with, rigorously reconciling, and actively managing a large-scale Enterprise Data Warehouse (EDW) designed to support complex big data analytics and reporting initiatives. Compensation: •$113,000 - $188,400 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!