Sr. Developer

Job Summary

As a Sr. Developer you will be responsible for designing developing and maintaining complex data solutions using Ab Initio and SQL. You will leverage your expertise in data warehousing concepts and Unix shell scripting to optimize scheduling processes. This hybrid role requires collaboration with cross-functional teams to ensure seamless integration and execution of data workflows.

Responsibilities

• Lead the design and development of data solutions using Ab Initio to meet business requirements.
• Oversee the implementation of SQL queries to extract transform and load data efficiently.
• Provide expertise in external scheduler tools to optimize data processing workflows.
• Collaborate with cross-functional teams to ensure seamless integration of data solutions.
• Develop and maintain Unix shell scripts to automate data processing tasks.
• Ensure data integrity and accuracy through rigorous testing and validation processes.
• Monitor and troubleshoot scheduling issues to minimize downtime and enhance performance.
• Implement best practices in data warehousing concepts to support scalable and robust data architectures.
• Analyze complex data sets to identify trends and insights that drive business decisions.
• Optimize scheduling basics to improve efficiency and reduce processing time.
• Document technical specifications and maintain comprehensive records of development activities.
• Participate in code reviews to ensure adherence to coding standards and quality.
• Provide technical guidance and mentorship to junior developers to foster skill development.

Qualifications

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• Demonstrated experience in using Ab Initio for data solution development.
• Proficiency in SQL for data manipulation and query optimization.
• Strong understanding of external scheduler tools and their application in data workflows.
• Expertise in Unix shell scripting for automation of data tasks.
• Solid grasp of data warehousing concepts and their implementation in large-scale environments.
• Ability to collaborate effectively with cross-functional teams in a hybrid work model.
• Excellent problem-solving skills and attention to detail in data processing tasks.