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.