{"id":1407389,"url":"https://alion.io/job/pricewaterhousecoopers-etic-data-engineer-senior-associate","title":"ETIC, 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":2652,"ghost_share":0.51,"stale_share":0,"repost_share":0.001,"time_to_fill_p50_days":26,"computed_at":"2026-11-01T06:10:25Z"}},"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":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"Hadoop","optional":true}],"status":"live","first_seen_at":"2026-07-19T00:00:00Z","employer_posted_date":"2026-07-19","last_verified_at":"2026-11-01T10:46:02Z","board_verified":true,"closed_at":null,"days_open":105,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":105},"description":"Line of Service\nAdvisoryIndustry/Sector\nTechnologySpecialism\nAdvisory - OtherManagement Level\nSenior AssociateJob Description & Summary\nAs a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks. You will work within cross-functional teams to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.This role requires a strong understanding of cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and deep practical knowledge of Databricks for batch and data engineering.\nKey Responsibilities\nDesign, develop, and maintain end-to-end data pipelines across structured, semi-structured, and unstructured data sources.\nImplement data ingestion, transformation, and orchestration frameworks leveraging Azure Data Factory, Synapse, and/or Microsoft Fabric Data Pipelines.\nDevelop and optimize ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake) to ensure high performance and scalability.\nImplement and enforce data quality, lineage, and governance practices.\nWork closely with solution architects to design modern data architectures and ensure compliance with security and privacy standards.\nParticipate in client workshops and technical discussions to translate business needs into technical designs.\n Required Skills & Experience\n3-6 years of experience in data engineering.\nStrong hands-on experience with:Azure Data Platform: Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, and Azure Functions.\nDatabricks: PySpark, Spark SQL, Delta Lake, Unity Catalog, and Databricks Workflows.\n\nProficiency in Python and SQL for large-scale data processing and transformation.\nSolid understanding of data modeling, medallion architecture, and lakehouse principles.\nFamiliarity with CI/CD pipelines, DevOps, and version control (e.g., Git, Azure DevOps).\nKnowledge of data governance, lineage, and observability tools.\nExperience with performance optimization, cost control, and best practices in cloud environments.\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 Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {자세히(27)}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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