oracle
Data Engineer - Associate Director
KPMG Global Services
Bengaluru, IND
Full-time
Senior · 12+ years experience
Onsite
Discovered 3 weeks ago
PythonPySparkDatabricksDatabricks WorkflowsAzureAWS
Free
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PythonPySparkDatabricks
Key Skills for This Role
PythonPySparkDatabricksDatabricks WorkflowsAzureAWS
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Responsibilities
- Lead and mentor a technical team (8–15 engineers) in designing and delivering data ‑ engineering solutions across cloud platforms (Azure/AWS/GCP).
- Architect, develop, and optimize ETL/ELT pipelines using Python, PySpark, Databricks, and distributed processing frameworks.
- Design and maintain scalable data architectures, including data lakes, lakehouses, warehouses, Delta tables, and semantic layers.
- Establish best practices in data modelling (dimensional, wide ‑ table, data vault), data quality, metadata management, and data governance.
- Collaborate with business owners, architects, product managers, and analytics teams to ensure end ‑ to ‑ end project delivery.
- Define standards for data operations, monitoring, lineage, and CI/CD for data workloads.
- Drive cloud platform adoption and modernization, ensuring solutions meet performance, cost ‑ efficiency, and compliance requirements.
- Promote innovation by evaluating new data engineering tools, frameworks, and practices.
- Mentor junior team members, providing guidelines to ensure high-quality deliverables.
- Communicate complex technical solutions to senior management and diverse stakeholders effectively.
- Contribute to sales activities through data and platform architecture expertise
- Stay updated on industry trends and contribute to internal initiatives, R&D, and business development projects.
Qualifications
- 12+ years of experience in data engineering, with at least 3 years leading large technical teams.
- Industry vendor certifications are desired (e.g. AWS, Azure, GCP, CNCF/Kubernetes or Databricks certifications); although not essential if you have demonstrable ability.
- Strong hands ‑ on expertise with Python, PySpark, and Databricks (including Lakehouse & Databricks Workflows).
- Experience designing and deploying data solutions on Azure, AWS, or GCP.
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