{"id":4113172,"url":"https://alion.io/job/kpmg-manager-gts-des","title":"Manager - GTS (DES)","company":{"id":2178,"name":"KPMG","domain":"home.kpmg","url":"https://alion.io/company/kpmg","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":11,"ghost_share":0,"stale_share":0.818,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-11T23:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-11T23:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Manager - Azure Data Engineer will lead a large team of data engineers, driving strategic initiatives in the Audit Data & Analytics domain. This role demands strong leadership, people management and delivery qualities, deep technical expertise in Azure, and ERP knowledge. The Manager will be responsible for delivering complex data solutions, ensuring operational excellence, and fostering a culture of collaboration and innovation.\n\nKey Responsibilities:\nLeadership & Team ManagementLead and manage a team of 10-16 data engineers, ensuring high performance and engagement.\nSet clear goals, monitor progress, and provide coaching and mentorship to team members.\nFoster an inclusive and collaborative environment that promotes knowledge sharing and continuous improvement.\nManage resource allocation, workload balancing, and succession planning and execution.\nDeliver quality deliverables in a timely manner.\n\nTechnical DeliveryDesign and manage scalable data processing pipelines and workflows to support analytics and audit requirements.\nPerform and oversee data transformation and integration projects using Azure Databricks, Azure Data Factory, and Python/PySpark.\nApply advanced concepts such as partitioning, optimization, and performance tuning for efficient data processing.\nDrive integration of ERP systems (SAP, Oracle, Microsoft Dynamics) with Azure-based solutions.\nDebug, optimize, and resolve issues in large-scale data workflows, proposing effective solutions with minimal guidance.\n\nData Handling & Workflow DevelopmentDemonstrate advanced knowledge of Azure cloud services, including Azure Databricks, Data Factory, Data Lake Storage, and related technologies.\nUtilize tools such as Alteryx and Power BI for data analysis and visualization.\nApply understanding of audit processes, financial data structures, and risk assessment routines.\nExplore and apply Azure AI services to enhance business processes.\nWorking experience and certification in Microsoft Fabric for data analytics is preferred.\n\nPerformance Optimization & DebuggingDebug, optimize, and tune performance for large-scale data processing workflows.\nResolve issues with minimal guidance and propose effective solutions.\n\nStakeholder EngagementAct as a primary point of contact for audit engagement teams and client IT teams.\nCommunicate effectively with business leaders, translating technical solutions into business value.\nBuild strong relationships across global teams to enable seamless delivery.\n\nDomain Expertise (Added Advantage)Experience with General Ledger/Sub-Ledger analysis and development of risk assessment or substantive routines for Audit/Internal Audit.\n\nMandatory Technical & Functional Skills:\nProficiency in Azure, Databricks notebooks, SQL, Python, or PySpark notebook development.\nKnowledge of any ERP and understanding of data flows in ERP.\nStrong knowledge of ETL tools and processes.\nHands-on experience with Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS).\nComprehensive knowledge of Azure cloud services.\nExperience with Databricks notebooks for building transformations and creating tables.\nExperience in Alteryx and Power BI for data analysis and visualization purposes.\nMicrosoft Fabric and Azure AI services are an added advantage.\nUnderstanding of audit processes.\nSkills\nADF, ADLS, Alteryx, Azure, Databricks, ERP, ETL, Power BI, PySpark, Python, SQL","description_format":"text","description_chars":3395,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-11-11T23:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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