Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Responsibilities

● Bachelor’s degree in computer science, Mathematics or a related technical field or equivalent practical experience.

● Certifications

Minimum: Google Associate Cloud Engineer Alternative: AWS Associate Certification

● 3+ years direct experience working in IT Infrastructure

● 2+ years in a customer facing role working with enterprise clients

● Experience in Identity and Access Management, networking, storage, compute infrastructure (servers, databases, firewalls, load balancers) for Implementing/maintaining cloud solutions in virtualized environments.

● Experience in advanced areas of networking, including Linux, software-defined networking, network virtualization, open protocols, application acceleration and load balancing, DNS, virtual private networks and their application to PaaS and IaaS technologies

● Experience with Relational Databases, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source).

● Experience with application development and Devops concepts and technologies (e.g. CI/CD, Java, Python, Chef, Puppet, Ansible)

● Experience automating infrastructure provisioning, DevOps, and/or continuous integration/delivery.

● Understanding of open-source server software (such as NGINX, RabbitMQ, Redis, Elasticsearch) ● Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).

● Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.

● Willingness to travel around 30%-40%

*Mandatory Skills: GCP Infra, Devops

*Preferred Skill Sets: GCP Infra, Devops

*Years of Experience: 3-5 Years

*Education Qualifications-Btech MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Good Clinical Practice (GCP)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation, Data Warehouse, Data Warehouse Indexing {+ 13 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

IN-Associate– PMO-Advisory Corporate –Advisory_Bangalore

PWC

Job Description

About Company

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