Data & Analytics Engineer - Consultant

KPMG India Bangalore, Karnataka, India

Business Consulting and Services · 10,001+ employees

6 d ago Closes in 7d

Senior (5-10 yrs) Full-time India

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About the role

The consultant will be responsible for designing and managing data pipelines using Databricks and implementing medallion architecture. They will also handle large volumes of data while ensuring effective data modeling and warehousing practices.

What they look for

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

Requirements

Candidates must have 4-6 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 SCD approaches.

Full description

Job Title: Databricks Consultant

Location: Bangalore

Experience: 4-6 Years

4-6 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 Consultant

Location: Bangalore

Experience: 4-6 Years

4-6 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 Consultant

Location: Bangalore

Experience: 4-6 Years

4-6 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