Associate Engineer - Data Engineering- Associate 2
Associate Engineer - Data Engineering- Associate 2
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Job Description
Line of Service
Internal Firm ServicesIndustry/Sector
Not ApplicableSpecialism
IFS - OperationsManagement Level
AssociateJob Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.
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 Firms code of conduct and independence requirements.
What You will do
Create and maintain optimal data pipeline architecture
Identify design and implement internal process improvements automating manual
processes optimizing data delivery re-designing infrastructure for scalability
Design develop and deploy high volume ETL pipelines to manage complex and near-real
time data collection
Work with the data management team and project leads to assist with data related technical
issues and support infrastructure needs
Preferred Knowledge/ Skills:
Azure data engineer skills databricks data factory data lake Azure sql db synapse.
Preferable: Informatica Oracle and Azure DevOps.
A successful history of manipulating processing and extracting value from large
disconnected data sets
Familiarity with enterprise productivity tools including Microsoft Office Suite and Google
platforms and other project management software
Strong business and technical acumen
Strong problem solving communication and follow-up skills
Ability to navigate complexity and ambiguity practicing resourcefulness to see things
through
Identifying and keeping up with industry leading best practices in relevant technical domains
Exp 1-4 years
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 Algorithm Development Alteryx (Automation Platform) Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline Data Preprocessing Data Quality 33 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Employment Type
Full-Time
