Senior Data Engineer

Specialty/Competency: Data, Analytics & AI

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 60%

At PwC, we thrive on innovation and excellence in data and analytics engineering. Our team focuses on leveraging cutting-edge technologies to create robust data solutions for clients. Join us in transforming raw data into valuable insights that drive informed decision-making and business growth.

As a Senior Data Engineer, you'll lead the design and construction of data infrastructure and systems, enhancing data processing and analysis capabilities. Your expertise will be vital in developing and implementing data pipelines, facilitating seamless data integration, and transforming data into actionable formats.

In this role, you will foster strong client relationships, mentor junior team members, and navigate complex challenges. You will cultivate your personal brand while deepening your technical expertise, consistently anticipating the needs of your clients and teams to deliver high-quality results. Embrace opportunities for growth and learning, even in uncertain situations.

Key Responsibilities:

• Design and implement comprehensive data architecture strategies that meet client needs.
• Analyze complex issues and devise innovative solutions to drive project success.
• Mentor junior team members, providing guidance and support.
• Uphold rigorous standards in all project deliverables.
• Build and maintain strong client relationships, ensuring effective communication.
• Gain a thorough understanding of the changing business environment and its impact on project objectives.
• Manage and effectively navigate complex scenarios.
• Enhance your personal brand and technical proficiency through continuous learning.

What You Must Have:

• Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or a related field.
• At least 2 years of relevant experience in data engineering.

What Sets You Apart:

• A relevant certification in Cloud Platforms such as AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, or Microsoft Azure Data Engineer is a plus.
• Experience designing and implementing comprehensive data architecture strategies.
• Proficiency in developing and documenting data models, data flow diagrams, and data architecture guidelines.
• Knowledge of data governance and security policies, ensuring compliance in architecture design.
• Ability to collaborate with business stakeholders to understand and address data requirements.
• Strong skills in building and maintaining ETL/ELT pipelines for efficient data ingestion and processing.
• Experience in deploying scalable data storage solutions using AWS, Azure, and GCP services.
• Expertise in implementing data integration solutions using tools like AWS Glue, AWS Lambda, Azure Data Factory, and GCP Dataflow.
• A focus on optimizing cloud resources for cost-effectiveness, performance, and scalability.

PwC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, or any other status protected by law. Applications will be accepted until the position is filled or the posting is removed.

The salary range for this position is: $77,000 - $202,000. Actual compensation will depend on individual skills, experience, qualifications, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus and a comprehensive benefits package including medical, dental, vision, 401k, vacation, and more.