Manager - GTS (DES)

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.

Key Responsibilities:

• Leadership & Team Management
  • Lead and manage a team of 10-16 data engineers, ensuring high performance and engagement.
  • Set clear goals, monitor progress, and provide coaching and mentorship to team members.
  • Foster an inclusive and collaborative environment that promotes knowledge sharing and continuous improvement.
  • Manage resource allocation, workload balancing, and succession planning and execution.
  • Deliver quality deliverables in a timely manner.
• Technical Delivery
  • Design and manage scalable data processing pipelines and workflows to support analytics and audit requirements.
  • Perform and oversee data transformation and integration projects using Azure Databricks, Azure Data Factory, and Python/PySpark.
  • Apply advanced concepts such as partitioning, optimization, and performance tuning for efficient data processing.
  • Drive integration of ERP systems (SAP, Oracle, Microsoft Dynamics) with Azure-based solutions.
  • Debug, optimize, and resolve issues in large-scale data workflows, proposing effective solutions with minimal guidance.
• Data Handling & Workflow Development
  • Demonstrate advanced knowledge of Azure cloud services, including Azure Databricks, Data Factory, Data Lake Storage, and related technologies.
  • Utilize tools such as Alteryx and Power BI for data analysis and visualization.
  • Apply understanding of audit processes, financial data structures, and risk assessment routines.
  • Explore and apply Azure AI services to enhance business processes.
  • Working experience and certification in Microsoft Fabric for data analytics is preferred.
• Performance Optimization & Debugging
  • Debug, optimize, and tune performance for large-scale data processing workflows.
  • Resolve issues with minimal guidance and propose effective solutions.
• Stakeholder Engagement
  • Act as a primary point of contact for audit engagement teams and client IT teams.
  • Communicate effectively with business leaders, translating technical solutions into business value.
  • Build strong relationships across global teams to enable seamless delivery.
• Domain Expertise (Added Advantage)
  • Experience with General Ledger/Sub-Ledger analysis and development of risk assessment or substantive routines for Audit/Internal Audit.

Mandatory Technical & Functional Skills:

• Proficiency in Azure, Databricks notebooks, SQL, Python, or PySpark notebook development.
• Knowledge of any ERP and understanding of data flows in ERP.
• Strong knowledge of ETL tools and processes.
• Hands-on experience with Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS).
• Comprehensive knowledge of Azure cloud services.
• Experience with Databricks notebooks for building transformations and creating tables.
• Experience in Alteryx and Power BI for data analysis and visualization purposes.
• Microsoft Fabric and Azure AI services are an added advantage.
• Understanding of audit processes.

Skills

ADF, ADLS, Alteryx, Azure, Databricks, ERP, ETL, Power BI, PySpark, Python, SQL