Senior Data Engineer

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology join us to deliver material innovation that changes the world.

What We Offer

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Youll benefit from a supportive work culture that encourages you to learn develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more.

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We are seeking an experienced data engineer with a strong background in Data Engineering & technical expertise for IT business operations. You will be responsible for designing developing and maintaining data pipelines data models and reports that provide insights into the performance and efficiency of our IT organization. You will join a global team of high performing professionals to stand up a business intelligence capability that will enable us to analyze the business of IT from various facets including finances people work technology applications and business capabilities.

Key Responsibilities:

• Design develop and maintain data pipelines that ingest transform and integrate data from disparate source systems.
• Build and optimize data models that support Data transformations and Engineering needs for the Business of IT.
• Create and deliver objects and dashboards that provide actionable insights into the performance and efficiency of our IT organization.
• Collaborate with business stakeholders IT leaders and data analysts to understand and define data requirements metrics and KPIs.
• Ensure data quality accuracy and consistency across data sources and reports.
• Research and evaluate new data sources tools and technologies to enhance our data model and analytics capabilities.
• Document and communicate data engineering and analytics processes methodologies and best practices.

Required Qualifications:

• Requires a minimum of 6-8 years of related experience with a Bachelors degree in Computer Science or equivalent.
• Proficient in SQL and Python and familiar with other programming languages.
• 3-5 years of progressive experience in developing full-stack data frameworks including ETL/ELT data analysis compute and storage data pipelines and orchestration.
• Must have hands-on experience in Cloud Architecture (Azure GCP AWS) and cloud-based databases ( Databricks Snowflake Redshift) as well as various data integration techniques (API stream file) using DBT SQL/PySpark and Python.
• Must have proven experience with RDBMS SQL & NoSQL databases Big data Spark real-time streaming systems unstructured data processing and real-time data pipelines.
• Must have experience in leading data engineering teams with an excellent understanding of business domains within the semiconductor industry along with planning and execution using Agile methodology (Scrum/Kanban) within a DevSecOps model.
• Ability to Identify and resolve performance and scalability issues.
• Exceptional interpersonal and communication skills (both oral and written) including the ability to explain digital concepts and technologies to business leaders and business concepts to technologists.

Additional Information

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Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.