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Engaged Employer

Ernst & Young

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3.4

based on 10.4k Reviews

1936 Ernst & Young Jobs

EY - GDS Consulting - AI AND DATA - GCP - Senior

Ernst Young

3.4

based on 10.4k Reviews

3-7 years

₹ 6 - 21.25L/yr (AmbitionBox estimate)

Pune

1 vacancy

EY - GDS Consulting - AI AND DATA - GCP - Senior

Ernst & Young

posted 10hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Quality Assurance Supply Chain Management Consulting SQL Healthcare

+ 4 more

Job Description

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

We re looking for candidates with strong technology and data understanding in GCP engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Your Technical responsibilities

Working knowledge of Google Cloud Platform
Worked with a combination of cloud based big data technologies (Google Big Query, Cloud Data Flow, Cloud Composer, Cloud Functions, Cloud Pub Sub, GKE, Spark, Python and SQL, Nifi) and (OLTP and Data warehousing) within SQL, NoSQL and other RDBMS s.
Working exp on Data flow or STS to build pipeline from traditional and cloud source to GCP.
Good understanding of cloud design considerations and FinOps
Proficient in a modern scripting language like Python, Spark and Scala.
Methodological, logical, and flexible approach, to have gained significant experience of general solution
Prior experience working with container technology such as Docker, version control systems (Github), build management and CI/CD tools (Concourse, Jenkins)
Google Cloud Certified is add-on
Good to have knowledge in streaming tools like kinesis (Knowledge in Kafka would also suffice)

Requirements (Qualifications)

We are looking for the candidates with the following

BE/BTech/MCA with a sound industry experience of 3 to 7 years

Mandatory skills

Programming Language
Hands-on GCP experience
Good Understanding of Application Architecture

Preferred skills

Experience working on CMMI / Agile / SAFE methodologies
Experience working with AWS and/or Azure and/or GCP and a proven track record of building complex infrastructure programmatically with IaC tooling or vendor libraries
Strong scripting / programming skills in Python, Linux Shell
Experience with CI/CD pipelines and using test driven frameworks
Experience with implementing and testing GCP Services
Experience with Agile and DevOps concepts
Strong communication and written skills
Experience creating technical architecture documentation
Experience in Linux OS internals, administration and performance optimization.
Experience with Agile and DevOps concepts Developing monitoring architecture and implementing monitoring agents, dashboards, escalations, and alerts.

Your People Responsibilities

Cloud Infrastructure Management Manage Google Cloud and other cloud environments (like AWS, Azure). Design, set up, and manage data processing systems on GCP and other cloud environments.
Data Pipeline Workflows Build and maintain data pipelines using tools and services like Dataflow, Dataproc, Apache Beam, Apache Airflow, Cloud Composer, etc. to collect, process, and distribute data.
CI/CD Implementation Implement CI/CD pipelines for data applications using services like Cloud Build, Jenkins, or Gitlab. Continuous testing, continuous integration, build, package, and deployment should be automated across multi-cloud environments.
Code Management Take charge of source code repositories like GitHub or Bitbucket, ensuring robust version control practices.
Data Security & Compliance Implement security best practices. Handle actions such as encryption, managing and securing service accounts, secret management (like with Secret Manager), authentication, access control, and data compliance necessities (like GDPR).
Performance Optimization and Cost Control Monitor, debug, troubleshoot, and optimize performance of Dataflow jobs, and other data infrastructure. Implement strategies for optimizing cost across multiple clouds.
Data Lakes and Data Warehouses Management Manage BigQuery or other cloud data warehouse solutions and services for Data Lakes.
Collaboration & Communication Collaborate with data scientists, architects, developers and other stakeholders, sharing insights and making data-driven decisions to develop data strategies and models.
Continuous Learning Keep up to date with the latest GCP and other cloud services, big data, and CI/CD technologies. Constant improvement and learning are typically expected in such roles as technology continues to evolve quickly.
Architecting and Designing Involve in requirements understanding, solution architecture, designing of the data models considering best practices, service limits, security and cost in multi-cloud environments.

Ideally, you ll also have

Client management skills

People with technical experience and enthusiasm to learn new things in this fast-moving environment

Employment Type: Full Time, Permanent

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What people at Ernst & Young are saying

3.3

Rating based on 1k Consultant reviews

Anonymous · Marketing & Communication in Hyderabad / Secunderabad

Likes

Your career will be absolutely shelved if you work at EYq India. They don't care about your particular skill set or area of expertise, they just throw you in a client role where both parties would be clueless about and expect you to be the one to perform.

Dislikes

EY India is a goddam narcissist organization.