Azure Databricks- Associate 2

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.

Skills

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 Firms 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 will contribute to innovative projects utilizing Azure technologies and enhance your technical skills. As an Associate you will focus on learning and supporting senior staff while engaging in research and project tasks, allowing you to build meaningful client connections and develop your personal brand. This role offers a dynamic environment where you can embrace challenges, enhance your analytical abilities, and grow your career in data engineering.

Responsibilities

• Assist in the development and implementation of data solutions
• Collaborate with team members to analyze data requirements
• Utilize various tools and techniques to extract insights from data
• Support project tasks and contribute to team objectives
• Engage in research to enhance technical knowledge
• Interpret data to inform decision-making processes
• Uphold professional standards and compliance requirements
• Foster communication within the team
  
  

What You Must Have

• Bachelors Degree
• 2 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• 2-4 years of experience
• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
• Certifications in Azure / Databricks preferred
• Understanding Data Management concepts and Data Modeling
• Skilled in Big Data frameworks and technologies
• Experience in Spark and data extraction techniques
• Creating documentation for Project Architecture and User Manuals
• Familiarity with Cloud data migration processes
• Knowledge of Application DevOps tools like Git and CI/CD

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