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Metro mid-level Data Analyst with common title but mandatory Azure/Databricks certification reduces applicant density.
Technical Azure and Databricks skills are transferable, though Veeva/pharma integrations add moderate domain specificity.
Mandatory DP-203 certification, explicit 2–4 years, and specific Azure/Databricks skills make screening highly strict.
Develop and optimize complex SQL queries and implement data quality checks within Azure Data Factory (ADF) and Databricks pipelines.
Lead client engagements and present complex data findings independently and collaboratively across teams.
Manage data delivery performance within SLAs and troubleshoot data-related issues through root cause analysis.
Bachelor's degree in Computer Science, Engineering, IT, or related field.
2–4 years professional experience in data analysis, data engineering, or ETL processes.
Azure Data Engineer Associate (DP-203) certification is mandatory.
Must support business requirements during EST time zone shift hours.
Strong technical skills with primary focus on Azure Data Factory, Azure Databricks, Azure Logic Apps, ADLS Gen2, SQL, and Python/PySpark.
Experienced in client-facing roles with ability to lead engagements and communicate complex findings clearly.
Capable of working independently with strong organizational and analytical skills, handling production environment troubleshooting and release management with Azure DevOps.