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KPMG India

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3.5

based on 5.2k Reviews

971 KPMG India Jobs

Data Engineer - Consultant

KPMG India

3.5

based on 5.2k Reviews

3-6 years

₹ 7 - 27L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Data Engineer - Consultant

KPMG India

posted 5hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Information Technology Analytical Chemistry IT Business Analysis 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.

Bachelor s or master s degree in computer science, Information Technology, or a related field.

Preferred experience includes:

Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks
Deploy and provide support for application codes and analytical models
Create and enhance data solutions that enable seamless integration and flow of data across the data ecosystem
Provide business analysis and develop ETL code and scripting to meet all technical specifications and business requirements according to the established designs
Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python and Hadoop Platform and any Cloud Data Platform
Utilize multiple development languages/tools such as Python, SPARK, Hive, Presto, Java to build prototypes and evaluate results for effectiveness and feasibility
Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity
Offer system support as part of a support rotation with other team members
Operationalize open-source data-analytic tools for enterprise use
Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification
Understand and follow the company development lifecycle to develop, deploy and deliver the solutions
Designs and develops data ingestion frameworks leveraging open-source tools and data processing frameworks
Designs and develops complex and critical data projects
Develops, implements, and supports application codes and analytical models
Creates and enhances data solutions that enable seamless integration and flow of data across the data ecosystem
Designs and develops real time processing solutions