Azure Data Engineer -Analytics aaS Associate - Operate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Associate

Job Description & Summary

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients.

Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Job Summary -   

A career in our Managed Services team will provide you with 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 Data, Testing & Analytics as a Service team brings a unique combination of industry expertise, technology, data management and managed services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build and operate the next generation of software and services that manage interactions across all aspects of the value chain. 

 

Minimum Degree Required (BQ) *:  

Bachelor's degree  

 

Degree Preferred:   

Required Field(s) of Study (BQ):   

 

Preferred Field(s) of Study:  

Computer and Information Science, Management Information Systems 

  

Minimum Year(s) of Experience (BQ) *: US 

Minimum of 1 year of experience 

 

Certification(s) Preferred: 

 

Preferred Skills (PQs): 

 

Position Requirements: 

 

Required Skills: 

Azure Cloud Engineer: 

Job description: 

  

Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas:  

• Should have minimum 6 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. 

• Should have minimum 3-5 years of Operate/Managed Services/Production Support Experience  

• Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc.  

• Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes.  

• Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc.  

• Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc.  

• 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 troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage.  

• Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data  

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases  

• Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools  

• Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments.  

• Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc.  

• Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.  

• Should have Strong communication, problem solving, quantitative and analytical abilities. 

Nice to have: 

• Azure certification 

 

 

 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Automation, Automation Framework Design and Development, Automation Solutions, Budgetary Management, Business Process Automation (BPA), Business Process Improvement, Business Process Outsourcing, Business Transformation, Communication, Continuous Process Improvement, Data Quality Automation, Deliverable Planning, Delivery Excellence, Design Automation, Digital Transformation, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Managed Services, Operational Excellence, Operational Performance Management (OPM) {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date