IN-Manager_ Full Stack Developer _D&A_ Advisory_ Bangalore at pwc

, , India -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

React, Node JS, TypeScript, HTML5, CSS3, PostgreSQL, MySQL, MongoDB, RESTful APIs, GraphQL, Docker, Kubernetes, AWS, Git, DevOps, Data Engineering

Industry

Professional Services

Description

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Manager 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. " Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · Frontend: React.js, Redux / Zustand / Context API, TypeScript, HTML5, CSS3, Tailwind / Material UI. · Backend: Node.js (Express.js / Fastify / NestJS), Python (FastAPI / Flask). · Databases: PostgreSQL, MySQL, MongoDB, Redis. · API Development: RESTful APIs, GraphQL, WebSockets. · Version Control: Git, GitHub/GitLab/Bitbucket. · Testing: Jest, Mocha, Chai, PyTest, Cypress (optional). · DevOps & Cloud: Docker, Kubernetes, AWS / Azure / GCP (EC2, Lambda, S3, RDS). · Build Tools: Webpack, Vite, Babel, npm/yarn. · CI/CD: Jenkins, GitHub Actions, GitLab CI, or similar tools. Mandatory skill sets: · React and Node JS Preferred skill sets: · AWS Years of experience required: 7-10 Education qualification: B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Full Stack Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. The role involves designing and building data infrastructure and systems to enable efficient data processing and analysis.