Advisory Software Engineering Senior Manager

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Fintech • Professional Services • Software • Financial Services
The Role
The role involves improving internal processes, building analytical tools for performance indicators, and collaborating with stakeholders on data infrastructure challenges, alongside managing large datasets and data pipelines.
Summary Generated by Built In

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Functional Skills

· Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.

· Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.

· Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.

· Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.

· Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results.


Technical Skills:

• Analyze large datasets to derive actionable insights and support decision-making processes.

• Develop and maintain data pipelines using PySpark and other data processing tools.

• Write efficient SQL queries to extract, transform, and load data from various sources.

• Implement data models and schemas to organize and optimize data storage and retrieval.

• Perform data norplmalization and denormalization to ensure data integrity and accessibility.

• Collaborate with data engineers to centralize and manage data assets.

• Ensure data quality through validation and cleansing processes.

• Utilize CI/CD pipelines to streamline data deployment and maintain continuous integration.

Qualifications:

• Proven experience in data analytics and working with large datasets.

• Proficiency in Python, including libraries such as Pandas and Numpy for data manipulation.

• Strong SQL skills for querying and managing databases.

• Experience with PySpark for large-scale data processing.

• Basic understanding of Hadoop and its ecosystem.

• Familiarity with data engineering concepts and best practices.

• Knowledge of data modeling, including schemas, normalization, and denormalization techniques.

• Understanding of data centralization, cardinality, and data quality principles.

• Good to have experience in CI/CD pipelines and tools.

Banking

• Deep understanding of banking operations, financial products, and regulatory frameworks


Equal employment opportunity information 

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Qualifications

B.Tech

Top Skills

Ci/Cd
Hadoop
Numpy
Pandas
Pyspark
Python
SQL
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The Company
HQ: Gurugram, Haryana
30,867 Employees

What We Do

KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients. Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.

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