Senior Data Engineer II_IHC394
Marriott Tech Accelerator
- Hyderabad, Telangana
- Permanent
- Full-time
- Develop and maintain advanced Power BI and Jira dashboards, creating custom visualizations and translating Quality Engineering (QE) KPIs into actionable insights that monitor test execution, defecttrends, release readiness, supporting business objectives and continuous improvement across the MTA EQE function.
- Deliver strategic, data-driven recommendations to senior leadership based on comprehensive analysis of QE metrics, supporting informed decision-making and quality initiatives.
- Lead the enhancement of reporting processes by refining data models, standardizing QE reporting templates, and ensuring the accuracy and consistency of test execution and defect data across all projects.
- Collaborate with cross-functional teams to define, track, and communicate key quality KPIs, such as defect density,and test coverage, presenting clear, actionable insights to both technical and non-technical stakeholders.
- Oversee the automation of data pipelines and reporting schedules, ensuring real-time visibility into quality metrics and operational performance.
- Provide guidance and training to thestakeholders and across MTA EQE on interpreting and utilizing reports, fostering a data-driven culture and continuous improvement mindset.
- Stay current with advancements in Power BI and Jira, implementing best practices and innovative solutions to optimize reporting capabilities.
- Collaborate with stakeholders to ensure data engineering best practices are applied in the design, development, and maintenance of systems for collecting, storing, processing, and preparing data for analysis.
- Analyze complex datasets to identify trends, data quality issues, and improvement opportunities.
- Engage with stakeholders to provide solutions and recommendations for resolving data quality issues.
- Ability to present data findings clearly to non-technical stakeholders.
- ConfigureCreate and configure Jira filters, andcreate Automationworkflows and create Dasbhoardtosupport evolving reporting requirements and quality processessupport reporting needs.
- Automate datareporting pipelines and refresh schedules for real-time reporting.
- Provides leadership and support to quality inspections
- Functions as escalation point for SDETs
- Creates Reporting and Data Engineeringbest practice quality procedures
- Performs complex quantitative and qualitative analyses for delivering Quality Engineering reporting solutions
- Validates solutions with internal customers and stakeholders
- Facilitates achievement of expected deliverables per plan
- Assists in the defect management process
- Participates in the identification and monitoring of risks and issues
- Serve as a key member of the QE leadership team
- 6+ years of IT leadership experience with a blend of deep technical knowledge and a customer-focused mindset
- Experience in software development, test engineering, with expert-level expertise in multiple testing methodologies
- Experience engaging highly technical architecture, engineering and operations teams and driving outcomes with QE automation
- Strong verbal and written communication and problem-solving skills
- Possess strong expertise and hands-on experience with the Microsoft Fabric platform, developing Power BI reports and Jira Dashboards, and supporting Jira administration.
- Have experience designing Microsoft Fabric Data Lakehouse solutions to support continuous report refresh and data analytics.
- Undergraduate degree in an engineering or computer science discipline and/or equivalent experience/certification
- Demonstrated success leading medium- to large-scale initiatives/transformations.
- Proven knowledge of Agile methodology (preferably SAFe Agile).
- Experience with mixed and offshore delivery models.
- Good process management, negotiating, influencing, and problem resolution skills.
- Proven ability to prioritize and execute tasks in a high-pressure environment.
- Knowledge of business environment, service requirements, and hospitality culture.
- Ability to assess customer/client needs, creatively approach solutions, and influence appropriate courses of action.
- Ability to communicate technology lifecycles and strategies.
- Experience in developing data analytic reporting solutions utilizing Large Language Models (LLMs) and artificial intelligence (AI) technologies based onthe Microsoft Fabric platform.
- Undergraduate degree or equivalent experience/certification.