KPMG India

Data & Analytics Engineer - AM

KPMG India Bangalore, Karnataka, India

Business Consulting and Services · 10,001+ employees

21 h ago Closes in 5d
Senior (5-10 yrs) Full-time India
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About the role

The role involves managing data pipelines and implementing medallion architecture within a Databricks environment. You will be responsible for processing large volumes of data while utilizing tools like Unity Catalog and Delta Tables.

What they look for

Databricks Python SQL Spark Data Engineering Medallion Architecture Lakehouse Delta Tables Time Travel Unity Catalog Data Modelling Data Warehousing SCD Approaches Data Pipelines

Requirements

Candidates must have 6-9 years of professional experience in data engineering with a strong focus on Databricks. Proficiency in Python, SQL, and Spark is required, along with knowledge of data modeling and warehousing techniques.

Full description

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