{"id":1569161,"url":"https://alion.io/job/pricewaterhousecoopers-etic-data-engineer-support-senior-associate","title":"ETIC, Data Engineer Support, 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":"B","score":75,"open_postings":1121,"ghost_share":0,"stale_share":0.991,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-21T05:46:15Z"}},"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":54000,"max_usd":141000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"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":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Incident Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Delta Lake","optional":true},{"name":"Hadoop","optional":true},{"name":"ITIL","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2025-11-10T00:00:00Z","employer_posted_date":"2025-11-10","last_verified_at":"2026-10-21T04:00:42Z","board_verified":true,"closed_at":null,"days_open":345,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":345},"description":"Line of Service\nAdvisoryIndustry/Sector\nTechnologySpecialism\nAdvisory - OtherManagement Level\nSenior AssociateJob Description & Summary\nWe are looking for a Data Engineer (Support) with strong expertise in the Microsoft Azure Cloud ecosystem to ensure the smooth operation, reliability, and scalability of our data infrastructure. This role will focus on monitoring, troubleshooting, and optimizing data pipelines and Azure data services while collaborating with data teams to support analytics and business intelligence functions.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.Key Responsibilities\nProvide production support for Azure-based data pipelines, data lakes, and data warehouses.\nMonitor and resolve data ingestion, transformation, and performance issues across Azure Data Factory, Databricks, Synapse, and other services.\nManage and troubleshoot ETL/ELT processes, ensuring data reliability and availability.\nImplement and maintain data quality checks, validation frameworks, and alerting systems.\nCollaborate with data engineers and business teams to analyze and fix data discrepancies.\nDevelop scripts or automation tools using Python or PowerShell to improve operational efficiency.\nParticipate in on-call rotations for incident management and escalation support.\nMaintain detailed documentation of data workflows, configurations, and incident resolutions.\nSuggest and implement process improvements to enhance reliability and reduce manual interventions. ⸻ Required Skills and Qualifications\nBachelor’s degree in Computer Science, Information Systems, or related field.\n3+ years of experience in data engineering, data platform operations, or production support.\nStrong expertise in Microsoft Azure Cloud, including:\nAzure Data Factory (ADF)\nAzure Synapse Analytics\nAzure Databricks\nAzure Data Lake Storage (ADLS)\nAzure Monitor / Log Analytics / Application Insights\nProficiency in SQL for querying and debugging data issues.\nExperience with Python or PowerShell for automation and data processing.\nFamiliarity with DevOps tools (Azure DevOps, Git, CI/CD pipelines).\nUnderstanding of data modeling, ETL concepts, and data warehousing principles.\nStrong problem-solving, communication, and incident management skills. ⸻ Preferred Qualifications\nAzure certifications such as:\nMicrosoft Certified: Azure Data Engineer Associate (DP-203)\nAzure Administrator Associate (AZ-104)\nExperience with Databricks job orchestration, Delta Lake, or Spark.\nFamiliarity with ITIL processes or structured incident/change management frameworks.\nExperience supporting real-time data streaming using Azure Event Hubs or Kafka.\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, 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 {+ 27 more}Desired Languages (If blank, desired languages not specified)\nTravel Requirements\nNot SpecifiedAvailable for Work Visa Sponsorship?\nNoGovernment Clearance Required?\nNoJob Posting End Date","description_format":"text","description_chars":3738,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Financial Services","Civil 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