Brillio is hiring a

Talend Engineers - R01543797

San Francisco, United States
Part-Time
Remote
About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Talend Engineer
Location: Remote
 
We are seeking a talented Talend Engineer to join our data engineering team. The ideal candidate will be responsible for designing and optimizing data workflows using Talend to support the creation and editing of health plans. This role requires collaboration with data architects, SQL engineers, and product owners to meet business requirements while ensuring scalability, efficiency, and high-quality outcomes.

Key Responsibilities
Data Workflow Development
Write and update Talend workflows for file creation and file movement from Teradata to 3rd party systems
Collaborate with data architects, SQL engineers, and product owners to gather requirements for health plan-related projects.
Design and develop scalable data workflows using Talend to create or edit health plans effectively.
Job Optimization and Rule Engineering
Optimize Talend jobs to address health plan requirements, including payouts validation and improving rule-engine algorithms.
Enhance job performance and ensure efficient processing of large data volumes.
Pipeline Building and Scheduling
Develop robust data pipelines for file creation and ensure accurate scheduling for timely delivery.
Automate and monitor workflows to streamline operations and reduce manual intervention.
Problem Solving and Validation
Identify and resolve issues in data workflows and processes.
Build and implement validation checks to ensure data accuracy and reliability throughout the pipeline.

 
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