Talend Engineer

Job highlights
Identified by Google from the original job post
Qualifications
Strong proficiency in Talend ETL tool
Solid understanding of data warehousing and data modeling concepts
Experience with SQL and database technologies (e.g., Teradata)
Knowledge of data integration and data quality best practices
Ability to work independently and as part of a team
Excellent problem-solving and analytical skills
Strong attention to detail and commitment to quality
If you are passionate about data engineering and eager to contribute to innovative data solutions, we encourage you to apply
Responsibilities
As a Talend Engineer, you will play a crucial role in designing, developing, and optimizing data workflows to support the creation and editing of health plans
You will collaborate closely with data architects, SQL engineers, and product owners to ensure that our data solutions are scalable, efficient, and meet the evolving needs of our business
Data Workflow Development:Write and maintain Talend workflows for file creation and movement from Teradata to third-party systems
Collaborate with cross-functional teams to gather and understand health plan-related requirements
Design and implement scalable data pipelines using Talend to efficiently create and edit health plans
Job Optimization and Rule Engineering:Optimize Talend jobs to meet specific health plan requirements, including payout validation and rule-engine enhancements
Improve job performance and ensure efficient processing of large data volumes
Pipeline Building and Scheduling:Develop robust data pipelines for file creation and implement accurate scheduling for timely delivery
Automate and monitor workflows to streamline operations and reduce manual intervention
Problem Solving and Validation:Identify and resolve issues within data workflows and processes
Implement validation checks to ensure data accuracy and reliability throughout the pipeline
Job description
Talend Engineer

Remote

About the Role

We are seeking a skilled Talend Engineer to join our dynamic data engineering team. As a Talend Engineer, you will play a crucial role in designing, developing, and optimizing data workflows to support the creation and editing of health plans. You will collaborate closely with data architects, SQL engineers, and product owners to ensure that our data solutions are scalable, efficient, and meet the evolving needs of our business.

Key Responsibilities:
• Data Workflow Development:Write and maintain Talend workflows for file creation and movement from Teradata to third-party systems.
• Collaborate with cross-functional teams to gather and understand health plan-related requirements.
• Design and implement scalable data pipelines using Talend to efficiently create and edit health plans.
• Job Optimization and Rule Engineering:Optimize Talend jobs to meet specific health plan requirements, including payout validation and rule-engine enhancements.
• Improve job performance and ensure efficient processing of large data volumes.
• Pipeline Building and Scheduling:Develop robust data pipelines for file creation and implement accurate scheduling for timely delivery.
• Automate and monitor workflows to streamline operations and reduce manual intervention.
• Problem Solving and Validation:Identify and resolve issues within data workflows and processes.
• Implement validation checks to ensure data accuracy and reliability throughout the pipeline.

Required Skills and Experience:
• Strong proficiency in Talend ETL tool
• Solid understanding of data warehousing and data modeling concepts
• Experience with SQL and database technologies (e.g., Teradata)
• Knowledge of data integration and data quality best practices
• Ability to work independently and as part of a team
• Excellent problem-solving and analytical skills
• Strong attention to detail and commitment to quality

Preferred Skills:
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)
• Knowledge of data governance and data security principles
• Familiarity with scripting languages (e.g., Python, Shell)

If you are passionate about data engineering and eager to contribute to innovative data solutions, we encourage you to apply.