AWS/Azure, Snowflake - Associate 2

Industry/Sector

Specialism

Management Level

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 and Analytics Engineering team you will implement cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. As an Associate you will focus on learning and contributing to projects while developing your skills and knowledge to deliver quality work. This position provides an exciting opportunity to work with advanced technologies and collaborate with diverse teams.

Responsibilities

• Implement cloud-based data engineering solutions using AWS
• Collaborate with diverse teams to achieve project goals
• Enhance technical knowledge through hands-on experience
• Support the development of innovative data solutions
• Analyze and interpret data to inform project strategies
• Contribute to the continuous improvement of processes and methodologies
• Build relationships with team members and stakeholders
• Participate in learning opportunities to advance skills

What You Must Have

• Bachelor's Degree
• 2 years of experience in Cloud data engineering solutions
• Oral and written proficiency in English required
• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

What Sets You Apart

• Bachelor's Degree in Engineering, Computer Science, or related field
• Experience in architecting scalable cloud-based data solutions
• Hands-on experience with Snowflake utilities and ETL data pipelines
• Skilled in programming languages like Python or Java
• Knowledge of Big Data frameworks including Hadoop and Spark
• Familiarity with AWS compute and storage services
• Understanding of Cloud data migration processes and lifecycle
• Demonstrating analytical and problem-solving skills

Travel Requirements

Job Posting End Date