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Technical Manager_Databricks

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Onsite

Technical Manager_Databricks

PwC

Technical Manager_Databricks

Skills

SQL QueriesData EngineeringPythonDatabricksData AnalysisAWSGitHubPySpark

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 August 2026

What they need


Role & responsibilities

Role & responsibilities

Role-Technical Manager( DataBricks)

Experience-10+years

Location-Hyderabad & Banaglore

Preferred candidate profile

Must have experience as manager in current company or the Architecture not team lead

Must have have experience in Databrick, Pyspark, AWS, SQL,Stakeholder and Team Management Experience

If interested drop me cv on [email protected] or watsapp me on 6304776536

Preferred candidate profile

Technical Manager Databricks, PySpark & AWS position. We would appreciate your support in initiating the hiring process for this role.

This position requires a strong technical leader with extensive experience in Databricks, PySpark, AWS Cloud Technologies, Data Engineering, and team leadership. The individual will be responsible for leading the design and delivery of enterprise-scale data and analytics solutions while managing and mentoring a team of engineers.

Key Skills Required:

  • Databricks
  • PySpark / Apache Spark
  • AWS (S3 and other ETL Services)
  • Python and SQL
  • Data Lakehouse / Delta Lake Architecture
  • ETL / ELT Frameworks
  • Data Modeling and Data Warehousing
  • CI/CD, GitHub, DevOps Practices
  • Agile Delivery and Stakeholder Management
  • Strong Team Leadership and Mentoring Experience

Experience:

  • (10-12)+ years of overall IT experience
  • 5+ years in Technical Leadership / Team Management roles
  • Proven experience leading large-scale Data Engineering and Cloud Transformation initiatives

Role Responsibilities:

  • Lead architecture, design, and implementation of data platforms using Databricks and AWS.
  • Manage and mentor a team of Data Engineers and Technical Leads.
  • Drive project delivery, stakeholder engagement, and technical governance.
  • Establish engineering best practices, code quality standards, and operational excellence.
  • Collaborate with business, architecture, and cloud teams to deliver scalable data solutions.

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