Develop and Implement, Strong in
data modelling
and pipeline design Experience with metadata driven frameworks and governance practices Strong analytical skills to identify and reduce redundancies Knowledge of Snowflake and Medallion Architecture Objective
Optimize Data Pipeline Performance and Reliability Expertise in data pipeline optimization and performance tuning Experience with Indexing and efficient orchestration techniques Ability to identify and implement cost-saving measures Knowledge of monitoring tools and processes Objective
Enhance data modelling and Reusability Strong Communication and training skills Experience in data modeling and reusable asset creation Able to identify and train Subject matter experts Proficiency in gathering and analyzing Stakeholder Feedback Objective
Strengthen Devops Practices and Documentation Knowledge of version control and release processes Experience of DevOps process and CI/CD pipelines Ability to establish and maintain data asset frameworks Strong Documentation skills Objective
Lead and Develop the Data Engineering Team Leadership and team management skills Experience in conducting performance reviews and skill development plans Ability to establish and lead a center of Excellence(CoE) Proficiency in using tasking and estimation tools like Jira and DevOps
Data Modeler, Data Architect, Snowfake

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