Engineering Operations - Data & Analytics Technical Support Analyst (Azure BI / Cloud Data Engineer) - Specialist

About this role

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Managed Services

Management Level
Specialist

Job Description & Summary
A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology.

Our Solutioning Center of Excellence within the Managed Services Platform will provide you direct interaction with senior leadership and other key stakeholders. You will work with cross-functional teams to execute on priority growth initiatives within this fast-growing platform.


To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Conduct self in a professional manner and take responsibility for work and commitments.
• Flex approach to meet the changing needs of teams and clients.
• Identify and make suggestions for efficiencies and improvements when performing work.
• Take action to stay current with new and evolving technology.
• Use tools, techniques and firm standard methodologies to support research, analysis and problem solving.
• Handle, manipulate and analyse data and information responsibly.
• Communicate with empathy and adapt communication style to meet the needs of the situation and audience.
• Manage expectations of stakeholders effectively.
• Embrace different points of view and welcome opposing and conflicting ideas.
• Uphold the firm's code of ethics and business conduct.
  
  
  

• Trouble shooting and resolution of Azure cloud data engineering and reporting incidents, bug fixes, enhancements, and provide “how-to” assistance to end users.
• Perform triaging, resolve tickets, and manage SLAs by implement break-fixes.
• Implement permanent solution by performing Root Cause Analysis (RCA) of the incidents.
• Review existing solutions, identify opportunities for continuous improvements, and perform enhancements to systems.
• Use feedback and reflection to develop self-awareness, personal strengths, and address development areas.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Flexible to work in stretch opportunities/assignments.
• Uphold the firm's code of ethics and business conduct.
• Communicate effectively and work in a team environment that includes client interactions, workstream management, and cross-team collaboration.
• Escalation/Risk management.
• Must be willing to work in shifts, provide hand-over to global teams, and provide on-call support during off-business hours.
  
  

• Ability to build and optimize data sets, ‘big data’ data pipelines and architectures.
• In-depth knowledge and a sound understanding of cloud systems.
• Proficiency in analytics and database querying tools
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
• Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
• Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for large-scale data transformations using tools like Apache Spark.
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
• Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, testing outcomes)
• Experience working in Managed services environment providing application support, with strong knowledge on IT Service Management (ITSM) process including incident, request, and problem management.
• Azure certification is a plus.

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date
January 31, 2024