KG
KPMG Global Services
Data Engineer
Data & Analytics Engineer - AM
On-siteSeniorData EngineerJust posted
Role summaryAI-generated
This role focuses on building and maintaining large-scale data pipelines on Databricks, leveraging Python, SQL, and Spark to implement lakehouse and delta table solutions. The candidate will design data models, manage medallion architecture, and ensure efficient processing of big data volumes for KPMG's analytics services.
Skills required
About this 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
Responsibilities
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
Qualifications
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
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