Role Overview

Under general supervision, oversees moderately complex data engineering and cloud data warehouse implementation projects. Responsible for a variety of tasks to ensure deliverables are implemented on time and meet user requirements. Activities may include development of work plan, identify appropriate tools and technology needed, coordinate activities of other project team members. Ensures that implementations and related services are delivered on time and meet user requirements by maintaining control over the project scope and quality.

Responsibilities

Work with functional teams to successfully deliver on system design and development for the needed data integration and data management requirements supporting various Business Units.
Work with cross-functional teams to implement cloud data management solutions (Snowflake) and data ingestion solutions to support various Business Units
Work with GTS team to incorporate GenAI capabilities to deliver data ingestion pipelines and expedite data insights for users
Work across the GBS organizations including teams responsible for requirements, solution architecture, quality assurance and production support for successful design and development of cloud data integration solutions
Collaborate with business process owners to define analytic and data ingestion requirements
Work closely with PMO, Quality Assurance, Production Support, and Client executives across various Business units.
Ensure that solutions are being delivered per standards of availability, scalability, and security point of view, and that they are done on time with highest quality.
Support Operations teams with job monitoring and delivering enhancements and defect fixes

Requirements

Education: Required: Bachelor’s degree in computer science or related field.
Experience: Minimum 4 - 6 years broad Information Technology experience
2-5 years’ experience designing and building data warehouse and data engineering solutions on cloud platform such as Snowflake and Informatica IDMC
Maintain proficiency in ETL/data integration and information management processes, technologies and architectures: Dimensional data modeling principles, snowflake schemas, de-normalized data structures, slowly changing dimensions, etc.
Strong hands-on experience with SQL query development and Python
Solid understanding of latest GenAI solutions to deliver data engineering solutions
Solid understanding of cloud data platforms (Snowflake, Fabric), including data modeling and DataMart design
Analyzing business needs, including scheduling meetings, planning agendas, collaborating with business users to refine and deliver solutions.
Excellent problem-solving and analytical skills.
Strong communication and interpersonal skills