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Metro-based, mid-level generic data analyst role with common Azure/Databricks skills attracts high applicant competition.
Core Azure, Databricks and SQL skills transfer across industries, though Veeva/Salesforce pharma integrations increase domain specificity.
Mandatory DP-203 certification, specific Azure Databricks/ADF skills, and explicit 2–4 years requirement raise shortlisting strictness.
Develop and optimize complex SQL queries and manage Azure Data Factory (ADF) and Databricks data pipelines ensuring data quality and business logic accuracy.
Troubleshoot production data issues via root cause analysis and corrective actions to maintain system performance and meet SLAs.
Collaborate with technical and business stakeholders, manage CI/CD processes through Azure DevOps, and support data integrations with platforms like Veeva CRM and Salesforce.
Bachelor’s degree in Computer Science, Engineering, IT, or a related field.
2–4 years of professional experience in data analysis, data engineering, or ETL processes.
Azure Data Engineer Associate (DP-203) certification is mandatory.
Experience with Azure Data Factory, Databricks, SQL, and Python/PySpark is required.
Proven ability to lead client engagements and independently handle complex data engineering tasks with minimal supervision.
Experience working with Azure cloud data services (ADF, Databricks, ADLS, Logic Apps) and understanding of release management processes (CI/CD) within Azure DevOps.
Familiarity with CRM platforms integration (Veeva CRM, Salesforce) and handling data pipelines in production environments with troubleshooting and documentation focus.