Senior Data Support Engineer

Position Overview: We are seeking a highly skilled Senior Support Service Engineer with extensive experience in L1 and L2 support, specifically in data-related fields such as data lakes, data platform products, and data governance. The ideal candidate will possess exceptional analytical abilities, a deep understanding of complex data structures, and proficiency in deriving technical solutions from ticket descriptions. This role requires hands-on development capability for L2 requests, operational oversight, and proactive management of support processes and communication guidelines. Key Responsibilities: Technical Expertise: Utilize profound knowledge of data lakes, data lakehouse services, and data platform products. Analyze and ensure referential integrity of data structures and understand common models like star and snowflake schemata. Strong SQL skills (e.g., Spark SQL, T-SQL, PL-SQL) and familiarity with Python/Pyspark for data transformations. Support Services Management: Establish and maintain communication guidelines and support processes. Define standards and best practices within the support services domain. Manage internal stakeholders effectively to ensure alignment and collaboration. Data Governance: Contribute to Data Governance initiatives with expertise in Data Quality Assurance and anomaly detection. Conduct workflow efficiency and risk analysis, implementing strategies for consistency and accuracy of data services. Operational Oversight: Perform operational activities and monitor workflows to ensure efficient service delivery. Required Qualifications: Minimum 8+ years of experience in L1 support and 6+ years in L2 support, particularly in data-related domains. Proficiency in SQL (Spark SQL, T-SQL, PL-SQL) and basic to good knowledge in Python/Pyspark. Experience with JIRA, Confluence, and Power BI; familiarity with Azure Databricks, Azure DevOps, Azure SQL Database, Snowflake, Azure Blob Storage, S3 Storage, and Postman is advantageous. Strong understanding of data governance principles and practices, with at least 2+ years of specific experience in Data Governance. Soft Skills: Excellent communication skills with the ability to manage stakeholders and escalate issues when necessary. Exceptional self-organizational and research skills, coupled with an autonomous and proactive work approach.