Data Engineer - Senior Associate

PwC•Cincinnati, OH

1d•$77,000 - $202,000•Onsite

About The Position

As a Data Engineer - Senior Associate, 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. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.

Requirements

At least a Bachelor's degree
At least 2 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
Demonstrating proficiency in data engineering platforms like Databricks
Utilizing cloud platforms such as AWS and Microsoft Azure
Excelling in data architecture development and data modeling
Implementing data pipeline and data integration strategies
Navigating complex data environments with Apache Hadoop and Airflow
Applying critical thinking to solve data-related challenges

Responsibilities

Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
Applying data architecture development and database management skills to optimize data solutions
Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
Building and managing data lakes and warehouses to support large-scale data storage and retrieval
Confirming data quality and validation through rigorous testing and performance tuning
Collaborating with clients to understand their data requirements and deliver actionable insights
Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
Implementing data security best practices to protect sensitive information and maintain compliance
Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
Supporting the development of data strategies to drive business growth and informed decision-making