{"id":1657253,"url":"https://alion.io/job/pricewaterhousecoopers-etic-aws-data-engineer-senior-associate-2","title":"ETIC, AWS Data Engineer, Senior Associate","company":{"id":5739,"name":"PwC","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":69,"open_postings":2664,"ghost_share":0.509,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":30000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Hadoop","optional":true}],"status":"live","first_seen_at":"2025-03-05T00:00:00Z","employer_posted_date":"2025-03-05","last_verified_at":"2026-10-28T04:46:42Z","board_verified":true,"closed_at":null,"days_open":602,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":602},"description":"Line of Service\nAdvisoryIndustry/Sector\nTechnologySpecialism\nAdvisory - OtherManagement Level\nSenior AssociateJob Description & Summary\nAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.\nFocused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.\nExamples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:\nRespond effectively to the diverse perspectives, needs, and feelings of others.\nUse a broad range of tools, methodologies and techniques to generate new ideas and solve problems.\nUse critical thinking to break down complex concepts.\nUnderstand the broader objectives of your project or role and how your work fits into the overall strategy.\nDevelop a deeper understanding of the business context and how it is changing.\nUse reflection to develop self awareness, enhance strengths and address development areas.\nInterpret data to inform insights and recommendations.\nUphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.\nEducation (if blank, degree and/or field of study not specified)\nDegrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)\nRequired Skills\nOptional Skills\nAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 19 more}Desired Languages (If blank, desired languages not specified)\nTravel Requirements\nNot SpecifiedAvailable for Work Visa Sponsorship?\nNoGovernment Clearance Required?\nNoJob Posting End 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