JOB DETAILS

Data & Analytics Engineer - AM

CompanyKPMG Global Services
LocationBengaluru
Work ModeOn Site
PostedJuly 6, 2026
About The Company
KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients. Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.
About the Role

Job Title: Databricks Assistant Manager

Location: Bangalore

Job Type: Full-Time

Experience: 6-9 Years

  • 6-9 years of professional experience in data engineering, with a focus on Databricks.
  • Programming expertise on python, SQL, Spark
  • Good experience on databricks - dealing with data pipelines, medallion architecture, Lakehouse, delta tables, time travel, unity catalog, processing of large volumes
  • Good knowledge of data modelling, data warehousing, SCD approaches etc
  • Good communication skills
Key Skills
DatabricksPythonSQLSparkData PipelinesMedallion ArchitectureLakehouseDelta TablesTime TravelUnity CatalogData ModellingData WarehousingSCD ApproachesCommunication Skills
Categories
Data & AnalyticsTechnologyEngineeringSoftwareManagement & Leadership
Job Information
📋Core Responsibilities
The role involves managing data engineering processes with a focus on Databricks. Responsibilities include building data pipelines using medallion architecture and processing large volumes of data within a Lakehouse environment.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
31286
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page