AWS Data Engineering - Senior Manager

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Join Our Team as an AWS Data Engineering Senior Manager at Applied Materials

Advance your career path by stepping into a role at Applied Materials, where innovation meets expertise within our Advisory Acceleration Centre. As we continuously strive to set benchmarks in global delivery capabilities, we require a seasoned Senior Manager in AWS Data Engineering to lead our team towards exemplary operational success.

Who We Are

At PricewaterhouseCoopers (PwC), we stand proud as a beacon of innovation and quality, providing unparalleled services that enhance process excellence and delivery capabilities. Our commitment is to be future-ready, powered by a workforce that is purpose-driven and leadership-oriented at every tier.

The Role

As a Senior Manager in AWS Data Engineering, you will tackle complex business challenges from strategy execution to operation, embedding your expertise in a team keen on developing scalable solutions. You will navigate the landscape of cross-border engagements and technological integrations, ensuring that stakeholder needs are anticipated and met meticulously.

Key Responsibilities

  • Empower team members by fostering inclusive dialogue and considering diverse perspectives.
  • Address ambiguous challenges with structured problem-solving approaches.
  • Engage in meaningful coaching discussions and enhance big picture thinking.
  • Champion proactive solution development for stakeholder challenges.
  • Advance technical expertise in specialized areas and promote a synergistic environment where technology amplifies potential.
  • Adhere to and uphold the highest standards of ethics and business conduct.

Preferred Experience and Qualifications

The ideal candidate will bring:

  • 14 - 18 years of industry experience.
  • A Bachelor's degree in Engineering.
  • Amazon Web Services (AWS) certifications—AWS Certified Data Engineer highly preferred.
  • Proven capability in designing and developing data pipelines and managing large-scale data processing using AWS tools such as EMR, Kinesis, Lambda, and others.
  • Proficiency in Python and/or Java, along with a strong understanding of Big Data technologies like PySpark/Spark, Hadoop, Hive, Kafka.
  • Expertise in SQL, data warehousing, and optimizing big data pipelines on AWS.
  • Experience with Git, CI/CD pipelines, and Agile software development frameworks.
  • Exceptional communication skills and a proven record of influencing business and IT teams.

Further Details

  • Position does not provide work visa sponsorship.
  • No government clearance required.
  • No specified travel requirements.

Take this opportunity to lead at Applied Materials and drive forward both technological and business excellence. If you are ready to step into a vital role within PwC and lead innovative data solutions, apply now to be part of our future-forward journey.