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Common data-engineering skills and a mid-level lead title create moderate applicant competition.
Core data engineering skills transfer across industries, but cloud data-warehouse and support experience add moderate domain specificity.
Multiple mandatory technical skills, SLA/support responsibilities, and tool requirements raise screening rigor to medium.
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Manage customer engagement and oversee cloud data warehouse application support operations including incident triaging, resolution, and SLA compliance.
Lead support team execution covering monitoring, preventive maintenance, defect management, and process improvements adhering to SDLC and release management standards.
Perform custom data analysis and reporting, coordinate with third-party vendors, and mentor offshore team members to ensure timely delivery and quality.
Bachelor’s degree in Computer Science, Data Science, or related field.
Experience in application support and service delivery management within cloud data warehouse environments.
Proficiency in Python, PySpark, SQL, ETL tools, AWS Services (Glue, Athena, Lambda), and DevOps practices including infrastructure as code and CI/CD.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing and delivering support services in agile environments with strong incident and problem management skills.
Strong technical background in data warehousing using SQL on both single (SQL Server, Oracle) and parallel platforms (AWS Redshift).
Proven ability to lead teams, communicate effectively with stakeholders, and enforce compliance with SLAs and operational metrics.