**Senior Manager/Manager/Assistant Manager

- Data Engineer – Databricks**

Experience Required- 6yrs to 14 Yrs Location - Bangalore

Mode - Work from Office

Immediate Joiners

Role Overview

We are seeking a highly skilled Data Engineers with extensive experience in Databricks and modern data platforms . The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, implementing best practices in data engineering, and leading client engagements and project teams.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Databricks, Spark, and cloud-based data platforms
- Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) within Lakehouse environments
- Develop and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data
- Work with Delta Lake features including time travel, ACID transactions, and schema evolution
- Manage and govern data using Unity Catalog and ensure proper data security and compliance
- Build and maintain data models , data marts, and enterprise data warehouses
- Apply Slowly Changing Dimensions (SCD) techniques and best practices for data versioning
- Ensure performance optimization and cost efficiency of data workloads
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Lead project execution including effort estimation, planning, and delivery management
- Mentor junior team members and guide development pods/teams





Required Skills & Qualifications

- 5+ years of experience in Data Engineering , with solid focus on Databricks
- Strong programming expertise in:
- Python
- SQL
- Apache Spark (PySpark preferred)
- Hands-on experience with:
- Databricks platform and ecosystem
- Lakehouse architecture and Delta Lake
- Data pipeline orchestration and optimization
- Solid understanding of:
- Data Modeling techniques (dimensional modeling, star/snowflake schema)
- Data Warehousing concepts
- SCD (Slowly Changing Dimensions) approaches
- Experience handling large-scale data processing and distributed systems

Soft Skills

- Strong communication and stakeholder management skills
- Proven experience in leading client projects and cross-functional teams
- Ability to estimate work, manage timelines, and ensure quality delivery
- Strong analytical thinking and problem-solving capabilities

Preferred Qualifications

- Experience with cloud platforms (Azure/AWS/GCP)
- Knowledge of data governance and security best practices
- Exposure to CI/CD pipelines and DevOps practices in data engineering

Leadership & Consulting Skills

- Proven experience leading large client programs and distributed delivery teams.
- Strong stakeholder management and client-facing communication skills.
- Experience in solution architecture, estimation, project planning, and delivery governance.
- Demonstrated success in proposal development, pre-sales support, and solution consulting.
- Ability to influence senior business and technology stakeholders.

📌 Senior Manager/Manager/Assitant Manager - Databricks (Bengaluru)
🏢 KPMG
📍 Bengaluru