Design, develop, and support scalable ETL/ELT pipelines using
Snowflake
and related technologies.
Collaborate with stakeholders to gather requirements, analyze business needs, and translate them into technical solutions.
Lead and contribute to the architectural design of data models, data marts, and data warehouse solutions.
Develop complex
SQL/PLSQL
and
SnowSQL
queries for data transformation and reporting.
Implement and monitor data quality frameworks, error handling, and exception processing strategies.
Work with
Agile methodologies
and tools such as
Azure DevOps
or
JIRA
for sprint planning and issue tracking.
Utilize scripting skills in
Python
and/or
UNIX
to support automation and custom logic within data workflows.
Contribute to version control and deployment using
GitHub
or similar platforms.
Provide leadership and mentorship to junior data engineers and collaborate across multidisciplinary teams.
Ensure timely delivery and manage multiple priorities while maintaining high standards of data quality and performance.

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