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Azure Data Engineer - A Con- MFT KGS CH

KPMG Global Services
Bengaluru, IND
Full-time
Mid
Onsite
Discovered 3 days ago
azurepythonsql

Full Job Posting

Qualifications

  • Bachelor’s degree in computer science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
  • Experience with Azure cloud services, specifically data storage and data processing solutions.
  • Strong knowledge of data warehousing and ETL (Extract, Transform, Load) concepts.
  • Hands‐on experience with SQL, Python and PySpark.
  • Understanding of GenAI and LLM data concepts, including training data, embeddings, and inference pipelines.
  • Strong understanding of data security and privacy best practice.
  • Experience with monitoring and troubleshooting data pipelines.
  • Strong problem‐solving and analytical skills.
  • Effective communication skills to collaborate with cross‐functional teams.
  • Experience with data governance is a plus.
  • Proven experience leading and mentoring teams.
  • Strong communication and stakeholder management skills.
  • #LI-KS1 #KGS
  • #KGS

Responsibilities

  • Own the architecture, design, and delivery of scalable data storage and processing solutions using Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
  • Define and enforce data engineering standards, best practices, and design patterns across teams.
  • Provide technical leadership and oversight for complex ETL/ELT pipelines.
  • Lead data engineering support for AI and GenAI workloads, including preparation and management of training datasets, embeddings, and inference pipelines.
  • Partner with data scientists, AI engineers, and solution architects to meet AI performance and governance requirements.
  • Manage, mentor, and grow a team of Azure Data Engineers.
  • Plan capacity, allocate work, and ensure timely delivery of initiatives.
  • Drive adherence to Agile delivery practices.
  • Drive optimization of storage, compute, and pipelines for performance and cost efficiency.
  • Review and approve designs with long-term sustainability in mind.

Preferred Qualifications

  • Experience with data governance is a plus.

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