
Technical Support Engineering
2 semanas atrás
**Responsibilities**:
**Responsibilities**
Response and Resolution
- Reviews complex issues (e.g., multiple components of a product) and contacts customers to understand issue. Ensures customers stay informed as to the status/solution of their issue. Utilizes troubleshooting tools (e.g., event logs, performance traces) to help resolve customer issues.
- Acts as an advisor to the customer and handles complex, repeatable, or escalated cases that may become politically charged. Creates technical articles or knowledge base (e.g., edits or creates news/ knowledge-base articles) that is internal or customer facing for better customer understand. Provides best practices and education to ensure customer understands the problem in order to proactively resolve potential issues in the future.
- Performs complex product troubleshooting and remediation when needed. Works alongside the development teams to drive incident resolution for configuration, code, or other service deficiencies impacting customers. Analyzes patterns of problems and identifies workflows to optimize support engineering delivery for a team or region level.
- Collaborates on cross-team and cross-product technical issues by working with resources from other groups including support engineering groups, product groups, services team, and account team as needed to resolve complex customer issues.
Readiness
- Implements end-to-end readiness programs (e.g., mentoring, leading triages, content creation, brown bag sessions, blogs, quality assurance checks, writes technical articles) and contributes to the content and readiness strategy. Mentors Technical Support Engineers or members from other teams outside of Customer Service and Support (CSS). Develops expert level competence on support topics.
Product/Process Improvement
- Provides feedback to more senior engineers or serviceability team on functionality of products based on engagements with customers. Provides feedback to the product group for product improvement. Leverages overall product knowledge to determine if and when features require enhancements.
- Engages with engineering team to investigate product bugs, provides business impact, and collaborates with appropriate stakeholders and senior team members on fixes.
- Contributes to and/or develops automation techniques and diagnostic tools to improve cross-group effectiveness.
- Translates feedback and creates processes and workflows for case resolution.
- Participates in case triage meetings and/or case discussions to share knowledge with other engineers and contribute to more rapid customer solutions. Utilizes learnings from triage meetings to identify and communicate readiness needs to manager or readiness team.
Business Integration
- Implements strategic business decisions with customers, partners, and teams to increase market share. Influences peers to implement strategy.
Other
- Embody our culture and values
**Qualifications**:
**Qualifications**
Required/Minimum Qualifications
- 5+ years technical support, technical consulting experience, or information technology experience
- OR Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 3+ years technical support, technical consulting experience, or information technology experience.
- SQL Server Data Warehouse / Azure Synapse or experience in RDMS or equivalent MPP cloud-based databases.
- ETL Tool or equivalent such as Azure Data Factory, SQL Server Integration Services.
- Experience with one or more customer support, product support, technical support, IT Admin support, systems development, product development, network operations, software engineering, or I.T. consulting, customer or consulting or end-user support.
- English Language: fluent in reading, writing, and speaking.
Additional or Preferred Qualifications
- 2 years SQL developer experience. DBA considered.
- Networking (network trace analysis, troubleshooting name resolution, virtual networks, firewall configuration)
- Hadoop, Spark, Hive, Azure HDInsight, Azure Databricks
- Azure Cosmos DB, NoSQL Services, MongoDB
- Data Lake
- Cloud Streaming technologies
- Open Source Ecosystem (Linux, Apache, etc.)
- Developer Experience: Python, Scala, R
- Big Data or Analytics Products and Services
- Identity
- Azure DevOps
- Power BI / SQL Server Analysis Services
- Data Modeling
- Adaptability, flexibil
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