Cloudera Big Data 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 Firms code of conduct, and independence requirements.
  
  

Cloudera / Big Data Engineer – Senior Associate (5–9 Years)

Our Analytics & Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed-services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build and operate the next generation of software and services leveraging Cloudera’s Big Data platform.

Basic Qualifications

Job Requirements and Preferences

• Minimum Degree Required: Bachelors degree in computer science, Data Engineering, Information Systems, or related technical field
• Minimum Years of Experience: 5–9 years of hands-on experience in Big Data engineering, including at least 2 years working with Cloudera CDP or Hortonworks Data Platform
  
  

Preferred Qualifications

• Degree Preferred: Masters degree in data science, Analytics, Computer Science, or related discipline
• Preferred Fields of Study: Data Processing/Analytics/Science, Management Information Systems, Software Engineering
  
  

Preferred Knowledge & Skills

As a Senior Associate, you will architect, develop, and optimize scalable data solutions on Cloudera’s platform, while mentoring junior engineers. Key areas of expertise include:

• Cloudera Platform & Ecosystem – Deploying and managing Cloudera CDP or HDP clusters (HDFS, YARN, Knox, Ranger) – Configuring and extending core services: HDFS, Hive, Impala, HBase, Kafka, and NiFi
• Data Pipeline Development – Building ETL/ELT workflows using Apache Spark (Scala/Python),Dataiku, MapReduce, and Sqoop – Orchestrating jobs with Apache Oozie, Airflow, or NiFi for reliable, production-grade pipelines
• Performance Tuning & Scalability – Optimizing Spark jobs, Hive queries, and HBase/Impala schemas for large-scale datasets – Implementing partitioning, bucketing, and resource management to maximize throughput
• Data Modeling & Governance – Designing data lake and data warehouse schemas for structured and unstructured data – Applying Cloudera Ranger for fine-grained access control, data masking, and lineage tracking
• Cloud & Hybrid Deployments – Integrating on-premise Cloudera clusters with public cloud services (AWS EMR, Azure HDInsight, GCP Dataproc) – Leveraging object storage (S3, ADLS, GCS) and container orchestration (Kubernetes, Docker)
• DevOps & Automation – Automating cluster provisioning and configuration using Ansible, Terraform, or CloudFormation – Implementing CI/CD pipelines for data pipeline code and cluster blueprints
• Collaboration & Mentorship – Partnering with data scientists, analysts, and architects to translate business requirements into robust solutions – Coaching junior engineers on Big Data best practices, code reviews, and troubleshooting
• Communication & Delivery – Presenting architecture designs, performance benchmarks, and project roadmaps to stakeholders – Contributing to reusable playbooks, reference architectures, and accelerators for rapid client delivery

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