Overview
Job Description
The Azure Data Engineer in GTS - DES is an entry-level position for fresh graduates from Campus. The individual will join the GDC Technology Solutions (GTS) team, supporting clients on the Audit Data & Analytics domain. This role is designed for individuals eager to learn and develop foundational skills in ETL, building data pipelines, and data engineering services on the Azure cloud platform. The individual will work under the guidance and support of seniors and managers within the Data Engineering team, ERP teams, and D&A development, primarily supporting Big Data Analytics, Data Ingestion, insights, and data extraction and transformation.
Key Responsibilities
- Data Transformation & Integration:
- Assist in data extraction, transformation, and loading (ETL) using Azure Data Factory and Databricks under senior support.
- Support the development and maintenance of Python/PySpark notebooks for basic business logic.
- Help integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) into Azure-based workflows.
- Support Audit teams on Financial D&A and insights using multiple technologies.
- Workflow Development:
- Participate in designing and managing simple data pipelines using Azure Data Factory and Databricks.
- Apply basic optimization techniques for data processing as directed.
- Quality & Compliance:
- Ensure adherence to audit methodology and data governance standards.
- Maintain documentation for processes and workflows.
- Deliver high-quality deliverables to US Audit teams.
Mandatory Technical & Functional Skills
- Basic understanding of Azure Databricks, Azure Data Factory, PySpark, and Python.
- SQL and notebook development; RDBMS; Visualization tool - PBI.
- Azure Data Lake Storage (ADLS) concepts.
- Basic knowledge of Gen AI.
Enabling Skills
- Strong analytical and problem-solving abilities.
- Attention to detail and willingness to learn.
- Effective communication and collaboration skills.
- Ability to work in a dynamic environment and deliver within timelines.
- Flexibility to work on different projects/technologies.
- Eagerness to collaborate with business stakeholders to understand data requirements.
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Education Requirements
- B.Tech/B.E/MCA (CSIT/EE/EEE/ME)
Eligible Batch Years
KPMG
KPMG is one of the world's leading professional services firms, forming part of the 'Big Four' alongside Deloitte, EY, and PwC. Founded in 1987 through the merger of Klynveld Main Goerdeler (KMG) and Peat Marwick International, KPMG operates as a global network of independent member firms providing audit, tax, and advisory services. With a presence in over 145 countries and territories, KPMG employs more than 270,000 professionals, serving clients ranging from multinational corporations and governments to small and medium-sized enterprises.
The firm's mission is to inspire confidence and empower change by delivering high-quality professional services that help organizations navigate complex business challenges. KPMG is recognized for its commitment to integrity, innovation, and sustainability, with initiatives focused on digital transformation, ESG (environmental, social, and governance) advisory, and diversity and inclusion. In recent years, KPMG has invested heavily in technology-driven solutions, including advanced analytics and AI-powered tools, to enhance client outcomes and maintain its competitive edge in the global market.
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