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KPMG India

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3.5

based on 5.6k Reviews

1051 KPMG India Jobs

Senior - GCP Data Engineering

KPMG India

3.5

based on 5.6k Reviews

4-9 years

Bangalore / Bengaluru

1 vacancy

Senior - GCP Data Engineering

KPMG India

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Machine Learning Analytical Chemistry SAP Business Intelligence Data Processing

+ 3 more

Job Description

The person will work on a variety of projects in a highly collaborative, fast-paced environment. The person will be responsible for software development activities of KPMG, India. Part of the development team, he/she will work on the full life cycle of the process, develop code and unit testing. He/she will work closely with Technical Architect, Business Analyst, user interaction designers, and other software engineers to develop new product offerings and improve existing ones. Additionally, the person will ensure that all development practices are in compliance with KPMG s best practices policies and procedures. This role requires quick ramp up on new technologies whenever required.

B.E/B.Tech/ BCA/MBA/MCA Full-Time education

Responsibilities:

Architect, design, and implement scalable data solutions leveraging Google BigQuery as the core data warehouse platform, utilizing features such as partitioning, clustering, and materialized views for optimal performance.
Develop and optimize complex SQL queries and data pipelines using BigQuery for efficient data ingestion, transformation, and loading, including leveraging batch and streaming ingestion methods.
Utilize BigQuery ML or integrate with other GCP ML services to build predictive models and derive insights from data.
Implement data governance and security best practices within the BigQuery environment, including data encryption, access controls, and auditing.

Qualifications:

4-6 years of experience in data warehousing and business intelligence.
In-depth expertise in Google BigQuery , including advanced query optimization, performance tuning, and data modeling techniques.
Strong SQL skills and proficiency in Python or other scripting languages for data processing.
Proven experience in designing and implementing BigQuery data models and schemas, considering normalization, denormalization, and data partitioning strategies.
Hands-on experience with BigQuery data ingestion and extraction methods, including batch loading, streaming ingestion, and external tables.
Knowledge of other GCP services relevant to data engineering (e.g., Dataflow, Cloud Storage, Looker) and their integration with BigQuery .
Strong problem-solving, analytical, and communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Preferred: Google Cloud certifications (e.g., Certified Data Engineer) and experience with machine learning or data science.