Advisory Google Cloud Platform Assistant Manager

4 weeks ago

Pune, India KPMG India Full time
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.Any Bachelors or Masters in Engineering.5 plus years of experience is Google Cloud Platform is mandatory.GCP Professional Data Engineering certification would be a plus.
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.Overview
Lighthouse, KPMG's Big Data, AI & Analytics practice has deep industry specialization and focuses on solution delivery for Data Engineering, Data Science, Data Visualization, and Process Analytics.

As a Google Cloud Platform (GCP) Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and solutions on the Google Cloud Platform. You will collaborate with cross-functional teams to understand data requirements, develop scalable data architectures, and ensure data integrity and availability.

Key Technical Skills
Design and implement scalable data solutions on the Google Cloud Platform using services such as Google Cloud Storage, Google BigQuery, Google Dataflow, and Google Dataproc.Develop and maintain data ingestion processes, ETL workflows, and data transformation pipelines to efficiently move and process data from various sources.Collaborate with data scientists and analysts to understand data requirements and implement solutions to support analytics, reporting, and machine learning initiatives.Optimize data storage, processing, and querying performance on GCP to ensure high availability, reliability, and performance of data solutions.Implement data security and privacy measures to protect sensitive information and ensure compliance with regulations such as GDPR and CCPA.Monitor and troubleshoot data pipelines to identify and resolve issues related to data quality, performance, and reliability.Document data architecture, design decisions, and technical specifications to facilitate knowledge sharing and collaboration among team members.Stay up to date with industry trends, best practices, and emerging technologies related to data engineering and cloud computing.Other soft skills needed for this role.
Analytical mind, problem-solving aptitude, attention to details and sense of ownership will be critical to succeed in this role.Experience of having worked as per scrum/agile framework and methodology and good communication skills.Experience of directly interacting with clients on technical tracks and ability to spot opportunities for business development.Insatiable appetite to learn and navigate through uncharted landscape of technology and business.

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