AWS Data Engineering-D&A - Senior Associate

Join Our Pioneering Advisory Team as a Senior Associate in AWS Data Engineering-D&A at PwC

Line of Service: Advisory
Industry/Sector: Not Applicable
Specialism: Product Innovation
Management Level: Senior Associate

Job Description & Summary

Embark on a dynamic career with PwC's Advisory Acceleration Centre, a key proponent of our globally recognized delivery capabilities. This role offers a blend of premium services that emphasize cost-efficiency and high-quality support, enhancing both process and delivery frameworks essential for successful client engagements.

Our commitment to continuous improvement in a rapidly evolving global landscape is driven by a workforce that embodies leadership rooted in purpose and values. The PwV Professional framework is integral to our approach, ensuring uniformity in expectations across various functions and geographies while advancing career progression through clarity in skill requirements.

As a Senior Associate, you will contribute to a variety of challenging assignments, ranging from strategic planning to detailed execution, thus assisting clients in addressing complex business issues effectively. Your role will involve:

• Enhancing personal development by cultivating self-awareness and recognizing personal strengths through constructive feedback.
• Empowering team members by delegating critical tasks, thereby fostering professional growth through direct coaching.
• Applying critical thinking to bring structured solutions to complex, unstructured problems.
• Analyzing current trends within the industry to provide insightful, actionable outcomes.
• Maintaining high standards of quality and precision in personal and team outputs.
• Adapting tools and techniques based on situational analysis to optimize results.
• Engaging in diverse situations to broaden experience and perspective.
• Communicating effectively and structuring information efficiently to influence and connect with stakeholders.
• Building and maintaining quality relationships by reading and adapting to situational dynamics.
• Upholding the firm’s code of ethics and conducting business with integrity.

Position Requirements

Experience: 4 to 7 years
Minimum Education: Bachelor's degree in Engineering
Preferred Certifications: AWS Certification (AWS Certified Data Engineer)

Desired Skills

• Proven track record in designing and developing scalable data pipelines using AWS and related technologies such as EMR, Kinesis, Lambda, Glue, Athena, Redshift, and Step Functions.
• Strong proficiency in Python; experience with Java is a plus.
• Demonstrated expertise in Big Data tools and frameworks like PySpark/Spark, Hadoop, Hive, Kafka.
• Capability to optimize big data solutions and data pipelines within the AWS ecosystem.
• In-depth knowledge of data warehousing principles and advanced SQL skills.
• Experience with AWS core services (EC2, Cloud IAM, VPC, S3, etc.) and familiarity with architectural best practices.
• Proficiency in using AWS SDKs and integrating with native AWS services.
• Knowledge of CI/CD pipelines and Git for cloud application deployments.
• Strong background in requirement analysis, user story creation, and application design.

At PwC, you'll leverage your skills to influence and integrate within diverse client environments and contribute towards impactful solutions. Join us in shaping a future where business meets innovation, powered by a workforce geared towards emerging global challenges.

Travel Requirements: Not Specified
Visa Sponsorship: No
Government Clearance Required: No
Job Posting End Date: [Insert Date]

We look forward to having you onboard as part of our elite team at PwC, driving success both for our clients and your professional career. Apply now to step into the future of data engineering within the global landscape of business and technology.