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Job Description
Structured overview of role & requirementsAbout This Role
Develop and optimize complex SQL queries and data pipelines within Azure Data Factory and Databricks, ensuring data quality and timely delivery as per SLAs.
Lead client engagements by presenting complex data findings and working independently and collaboratively across teams.
Manage data integrations with third-party platforms like Veeva CRM and Salesforce, and support release processes via Azure DevOps CI/CD workflows.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, IT, or 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; Databricks certifications are highly desirable.
Must support shift hours as per business requirements aligned to EST time zone.
Ideal Candidate Profile
Experienced in Azure data services including Azure Data Factory, Databricks, ADLS Gen2, and related CI/CD release management.
Skilled in troubleshooting and root cause analysis within production environments with a strong focus on data quality and SLA adherence.
Capable of independently leading client engagements and collaborating across technical and business stakeholders in a global, fast-paced environment.