DataSeers is an award-winning Fintech headquartered in Alpharetta, GA. Founded in 2017, DataSeers created an AI focused product, FinanSeer that helps Banks and other Fintechs who are in the payments business with their data needs. FinanSeer contains 5 major modules: Compliance, Fraud, Reconciliation, Analytics, and KYC/KYB Onboarding. Powered by HPCC Systems, FinanSeer is fast, secure and accurate.
In the past year, DataSeers has seen extreme growth thanks to our clients and the popularity of FinanSeer. We are looking to expand our team by hiring for ETL Developer positions. DataSeers provides a flexible and fun work environment with a diverse, multi-cultural and multilingual staff. This is an in-person, not a remote job. Employees will be required to come to office during normal business hours.
Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities.
Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions.
Develop and implement data collection systems and other strategies that optimize Statistical efficiency and data quality.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Work closely with management to prioritize business and information needs.
Locate and define new process improvement opportunities.
Prepare documentation for further reference.
Performing quality testing and data assurance.
High attention to detail.
Passionate about complex data structures and problem solving.
Bachelor’s degree in computer science, electrical engineering, or information technology
Experience working in IT.
Experience working with complex data sets.
Knowledge of at least one ETL tool (SSIS, Informatica, Talend, etc.).
Knowledge of HPCC Systems and C++ preferred
Familiarity with Kafka on-premise architectures and ELK.
Understanding of cross cluster replication, index lifecycle management and hot-warm architectures.
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