Location: Orlando FL (Hybrid - 1 day onsite 4 days remote)
Duration: 3-6 month contract
We are seeking a Data Engineer to support the Finance and BI teams by automating and optimizing data pipelines within a Snowflake environment. The role will focus on converting manually executed SQL processes into scalable scheduled workflows using Azure Data Factory (ADF) ensuring reliable and efficient data delivery across critical reporting systems.
Design build and maintain ADF pipelines to orchestrate and automate data workflows.
Convert existing manual SQL/Snowflake processes into scheduled productionready jobs.
Integrate and manage data flows between Epic Clarity Snowflake and Azure environments.
Modify and optimize Snowflake tables and queries to meet evolving business needs.
Collaborate with BI and Finance teams to support reporting and analytics requirements.
Ensure pipeline performance is scalable reliable and efficient .
Strong proficiency in SQL and data engineering fundamentals.
Handson experience with Snowflake (tables queries optimization).
Expertise in Azure Data Factory (ADF) - pipeline creation scheduling orchestration.
Experience working in Azure cloud environments .
Familiarity with Epic Clarity (Epics SQLbased reporting database).
Required Skills:
ADF pipelinessqlsnowflakeazure
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