About this role
Job Requirements:-
• Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 4+ years work experience).
• At least 4+ years of consulting or client service delivery experience on Google Cloud Platform (GCP).
• At least 4+ years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases such as Cloud SQL, and data warehouse solutions such as BigQuery.
• Extensive experience providing practical direction with using GCP Native services.
• Extensive hands-on experience implementing data ingestion, ETL, and data processing using GCP services: Google Cloud Storage (GCS), Dataflow, Cloud Functions, Cloud Composer, BigQuery, Cloud SQL, Pub/Sub, IoT Core, Dataproc, Dataprep, Bigtable, Firestore, etc.
• Minimum of 4+ years of hands-on experience in GCP and Big Data technologies such as Java, Python, SQL, GCS, Apache Beam, PySpark, and SparkSQL, Dataproc, and live streaming technologies such as Pub/Sub, Dataflow, etc.
• Well versed in DevSecOps and CI/CD deployments.
• Cloud migration methodologies and processes including tools like Cloud Dataflow and Database Migration Service.
• Minimum of 4+ years of RDBMS experience.
• Experience in using Big Data File Formats and compression techniques.
• Experience working with Developer tools such as Cloud Build, IntelliJ IDEA, Git, Jenkins, etc.
• Experience with private and public cloud architectures, pros/cons, and migration considerations.
Primary Roles and Responsibilities:-A Google Cloud Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Google Cloud Platform (GCP) services. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures. The Google Cloud 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:-• DevOps on a Google Cloud Platform (GCP).
• Experience developing and deploying ETL solutions on Google Cloud.
• Familiarity with Google Cloud Data Catalog for metadata management, Data Governance, Data Lineage, Data Catalog, etc.
• Knowledge of Google Cloud IAM (Identity and Access Management). Understanding access controls and security on Google Cloud.
• Inclined with Google's vision and roadmap around the latest tools and technologies in the market.
• Knowledge on Google Cloud's Vertex AI, Machine Learning capabilities, and industry supporting use cases.
• Google Cloud certifications role-based (e.g., Professional Data Engineer, Professional Cloud Architect, Associate Cloud Engineer, Professional Machine Learning Engineer, etc.)
• Google Looker Studio (formerly Google Data Studio) hands-on and working knowledge, to create reports/dashboards and generate insights for business users.
Other facts
About KPMG India
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.
What you'll do
- A Google Cloud Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Google Cloud Platform (GCP) services. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures.
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