Engineering Jobs in Bengaluru, India (Now Hiring) — 12,996 open — Page 560

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

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.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Data Engineering team you are expected to develop conceptual, logical, and physical data models and implement RDBMS, operational data stores, data marts, and data lakes. As an Associate you are expected to focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You are expected to be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by developing your technical knowledge of firm services and technology resources.

Responsibilities

• Developing data models and implementing data solutions
• Enhancing skills and knowledge for quality delivery
• Establishing meaningful client relationships
• Inspiring and managing team members
• Expanding personal brand with technical proficiency
• Leveraging firm services and technology tools
• Navigating ambiguity and seeking clarity
• Assisting senior staff with project tasks

What You Must Have

• Bachelor's Degree in Engineering, Technology
• 2 years of experience with 2-4 years of experience preferred
• Oral and written proficiency in English necessary

What Sets You Apart

• Master's Degree preferred
• Experience in Data Modeling
• Experience in Cloud technologies (AWS/Azure/GCP)
• Advanced skills in SQL and SQL procedures
• Experience in Database SQL tuning and performance improvement

Travel Requirements

Not Specified

Job Posting End Date