Industry/Sector
Not ApplicableSpecialism
DealsManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in deals focus on providing strategic advice and support to clients in areas such as mergers and acquisitions, divestitures, and restructuring. They help clients navigate complex transactions and maximise value in their business deals.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.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
We are seeking an experienced Data Engineer with expertise in Databricks to join our team. The ideal candidate will be responsible for designing, implementing, and optimizing data workflows and pipelines using Databricks. You will collaborate with cross-functional teams to ensure data accessibility, reliability, and performance.
**Key Responsibilities**:
- Design and develop scalable data pipelines and workflows using Databricks.
- Collaborate with data scientists and analysts to support data-driven projects and initiatives.
- Optimize and manage data processing tasks on the Databricks platform to ensure high performance and cost efficiency.
- Integrate Databricks with various data sources and storage solutions.
- Implement ETL processes and ensure data quality and consistency across different environments.
- Maintain and monitor Databricks infrastructure, troubleshooting issues as they arise.
- Ensure compliance with data security policies and regulations.
**Qualifications**:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience in data engineering with a focus on Databricks.
- Strong proficiency in Python and/or Scala for developing data processing workflows.
- Expertise in SQL for data extraction and manipulation.
- Familiarity with big data technologies and cloud platforms, such as AWS, Azure, or Google Cloud.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
**Preferred Qualifications**:
- Experience with data lake architectures and Delta Lake.
- Knowledge of Apache Spark and its integration with Databricks.
- Understanding of data modeling and warehousing concepts.
- Experience with CI/CD practices for data pipelines.
Travel Requirements
Not SpecifiedJob Posting End Date