Big Data Engineer - Associate Consultant

 

 

 

 

KPMG Global Services 

KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements 

The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India — Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network. 

As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India). 

1. Furthermore, as KPMG in India, we were recognized as one of the ‘Best Companies for Millennials’ at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as ‘the Great Indian Workplace’ at the Culture Summit and Great Indian Workplace Awards 2019.

Team Overview 

KPMG’s network of Data & Analytics professionals recognizes that analytics has the power to create great value. That is why they take a business-first perspective, helping solve complex business challenges using analytics that clients can trust.

Data & Analytics professionals focus on solving complex business issues across all the key drivers of organizational value, including growth, risk and performance. And they work to deliver an unwavering commitment to precision and quality in everything they do.

 

Designation Associate ConsultantReporting to Abhijeet MisraRole type Big Data EngineerEmployment type Full-time

Job Requirements

Mandatory Skills

• Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
• 3+ years of experience in consulting or client service delivery experience.
• Proven expertise in developing and implementing detection or predictive models for fraud, financial crime, or customer insights.
• Experience with ETL tools like Ab Initio, Informatica, and proficient in data quality management.
• Proficient in at least one or more programming languages: Java, Python, Ruby, Scala
• Hands-on experience with big data technologies such as Hadoop, Spark, and Scala/Java. Familiarity with Python, Elastic, RESTful APIs, JSON, and Tomcat adds an advantage.
• Experience building metrics deck and dashboards for KPIs including the underlying data models.
• Understand how to design, implement, and maintain a platform providing secured access to large datasets

Primary Roles and Responsibilities 

 

An AWS Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using AWS cloud services. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures. The AWS Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency. 

 

Preferred Skills

• Master’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
• 3+ years of work experience with ETL, Data Modelling, and Data Architecture.
• Previous exposure to Quantexa platform concepts such as Entity Resolution, App Architecture, Network Analytics, and User Interface.
• Ability to interact with stakeholders from technical and non-technical backgrounds.
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems
• Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis

 

 

Other Information

Number of interview rounds2Mode of interviewVirtualJob locationBangalore/HyderabadClean room policy (specific to business)NA

 

 

 

 

 

 

 

Culture

• Corporate Social Responsibility programs
• Maternity and paternity leave
• Opportunities to network and connect
• Discounts on products and services

Note: Benefits/Perks listed above may vary depending on the nature of your employment with KPMG and the country where you work.

1. © 2021 KPMG Global Services Private Limited, a company incorporated under the laws of India and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited (“KPMG International”), a private English company limited by guarantee. All rights reserved. The KPMG name and logo are trademarks used under license by the independent member firms of the KPMG global organization.
2. The term “KGS” refers to the KGS Platform of Indian delivery entities, which consist of KPMG Global Services Private Limited (“KGSPL”), KPMG Global Services Management Private Limited (“KGSMPL”), KPMG Global Delivery Center Private Limited (“GDCPL”) and KPMG Resource Centre Private Limited (“KRCPL”), unless the specific private limited entity is specifically noted.
3. Use in these materials of the term “Our”, or “Us” means KGSPL, KGSMPL, GDCPL and/or KRCPL as the case may be and all four such legal entities are referred to collectively as “KGS”.
4. Note that Audit services for the clients of the US and Canadian firms are delivered from the GDCPL and for UK (and other firms except US and Canada) Audit services are delivered from KRCPL.

KPMG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

 

 

 

 

 

                          

Experience Level

Mid Level