KPMG Global Services - Consulting - GCP data engineer - Consultant/ 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).

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

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.

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 Information:

• Interview process:

  Please expect 2 rounds of interview

• Does the job role involve travelling:

  No
• Candidate should be okay with Hybrid mode

• Does the busy season apply to this role?:

  Seasonality of the work is dependent on the projects/ deliverable timelines
• Working location: Bangalore/Pune