Cloud Data Engineer -Analytics as service - Senior Associate - operate

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

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

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  
  

Job Profile Name

Data Engineer – Offshore - Tera Data, data stage, AWS, Data Bricks, SQL, Delta Live tables, Delta tables, Spark - Kafka, Spark Streaming, MQ, ETL

Associate

Job Title: Data Engineer – Offshore,

KEY SKILLS - Tera Data, data stage, AWS, Data Bricks, SQL, Delta Live tables, Delta tables, Spark - Kafka, Spark Streaming, MQ, ETL

Summary: We are seeking an experienced Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and be proficient in a variety of data technologies, including Teradata, DataStage, AWS, Databricks, SQL, and more. As a Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and systems that support our data-driven initiatives.

Minimum Degree Required: Bachelor's degree in computer science/IT or relevant field

Degree Preferred: Master’s degree in computer science/IT or relevant field

Minimum Years of Experience: 2 - 5 year(s)

Certifications Required: NA

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines using DataStage and other ETL tools.
• Leverage AWS cloud services for data storage, processing, and analytics.
• Utilize Databricks to analyze, process, and transform data, ensuring high performance and reliability.
• Implement and optimize Delta Live Tables and Delta Tables for efficient data storage and querying.
• Work with Apache Spark to process large datasets, ensuring optimal performance and scalability.
• Integrate Kafka and Spark Streaming to build real-time data processing applications.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
• Ensure data quality, integrity, and security across all data systems and pipelines.
• Monitor and troubleshoot data workflows to ensure smooth operations.
• Document data processes, architecture designs, and technical specifications.
  
  

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases such as Teradata.
• Hands-on experience with AWS services such as S3, EMR, Redshift, and Lambda.
• Proficiency in using Databricks for data engineering tasks.
• Experience with Delta Live Tables and Delta Tables in a data engineering context.
• Solid understanding of Apache Spark, Kafka, and Spark Streaming.
• Experience with messaging systems like MQ is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
  
  

Preferred Skills

• Experience with data warehousing and big data technologies.
• Familiarity with data governance and data security best practices.
• Certification in AWS or Databricks is a plus.