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Assistant Manager - Data Engineer

KPMG Global Services

Bangalore, Karnataka, IndiaOn Site

Original Job Summary

Job Description

We are seeking a highly-skilled and experienced Senior Azure Data Engineer to join our Tax Technology and Innovation team. In this role, the Assistant Manager - Data Engineer will design, develop, and maintain Azure data platforms for internal teams and client engagements.

Responsibilities

  • Design, build, and maintain Azure data services including Azure SQL Database, Azure Data Lake, Data Factory, Stream Analytics, Azure Analysis Services, Azure Databricks, and MS Fabric.
  • Develop and implement ETL processes, data pipelines, and data integration solutions in PySpark clusters.
  • Collaborate with stakeholders on data-related technical issues and support data infrastructure needs.
  • Design optimised data models for traditional warehouses and delta lakes.
  • Ensure data security, compliance, and best practices are maintained.
  • Optimise system performance for efficient data retrieval and updates.
  • Stay updated with emerging database technologies and trends.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or related field; Master's preferred.
  • Proven experience as a Data Engineer or similar role.
  • Expertise in Azure data services and tools, including Azure Databricks and MS Fabric.
  • Proficiency in PySpark with additional skills in SQL, Python, and Java.
  • Experience designing data models for traditional warehouses and delta lakes.
  • Strong analytical, problem-solving, and communication skills.
  • Certifications in Azure Data Engineering or related fields are a plus.

Key skills/competency

Azure, Data Engineering, ETL, PySpark, SQL, Data Modelling, Azure Databricks, Compliance, Data Security, Innovation

How to Get Hired at KPMG Global Services

🎯 Tips for Getting Hired

  • Research KPMG Global Services: Review company news, culture, and values.
  • Customize your resume: Highlight Azure and data engineering experience.
  • Showcase certifications: Emphasize Azure Data Engineering credentials.
  • Prepare for technical interviews: Focus on ETL and data pipeline design.

📝 Interview Preparation Advice

Technical Preparation

Practice Azure data services usage.
Review ETL process design.
Strengthen PySpark coding skills.
Refresh SQL and data integration techniques.

Behavioral Questions

Describe a complex project challenge.
Explain stakeholder communication approach.
Detail team collaboration experiences.
Discuss problem solving under pressure.