Job Description

Who We Are

Applied Materials is the 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 work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible® the next generations of technology, join us to Make Possible® a Better Future.

What We Offer

Location:

Bangalore,IND

At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

You’ll also 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 possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.

Applied Materials' IT organization has a long reputation of being a great place to work. The IT team has been recognized as one of Computerworld's 100 Best Places to Work in IT nine times. In addition, numerous Applied IT leaders have been honored as a CIO Magazine's Ones to Watch or Computerworld Premier 100 IT leaders.

We are seeking an experienced Software Engineer to join our team onsite in Bangalore, India with a strong focus on Data Engineering and Analytics. You will be responsible for designing and implementing robust data pipelines, developing scalable ETL processes, and creating efficient data models that drive business intelligence solutions. You will join a global team of high-performing professionals to build and maintain our data infrastructure, enabling advanced analytics capabilities across our IT organization, including financial analytics, workforce insights, operational metrics, and technology performance indicators.

Requires in-depth knowledge and experience in data engineering practices. Uses modern data stack best practices and knowledge of internal or external business issues to improve data solutions. Solves complex data integration problems; takes a new perspective using existing solutions. Works independently, receives minimal guidance. Acts as a resource for colleagues with less experience.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using modern ETL/ELT tools and frameworks
• Implement efficient data models and warehousing solutions to support business intelligence initiatives
• Write high-quality, documented code for data integration, transformation, and automation
• Design and optimize database schemas and query performance
• Develop and maintain data quality monitoring systems and procedures
• Implement data governance practices and ensure data security compliance
• Troubleshoot complex data pipeline issues and performance bottlenecks
• Collaborate with stakeholders to gather requirements and translate them into technical specifications
• Create and maintain documentation for data flows, models, and processes
• Build reusable code and libraries for future use

Technical Skills Required:

• Strong programming skills in Python, SQL, and data processing frameworks
• Experience with modern data warehouse platforms (Snowflake, Redshift, BigQuery)
• Proficiency in ETL/ELT tools (Apache Airflow, dbt, or similar)
• Knowledge of big data technologies (Spark, Hadoop ecosystem)
• Experience with version control systems (Git) and CI/CD practices
• Understanding of data modeling concepts and best practices
• Familiarity with business intelligence tools (Tableau, Power BI, or similar)
• Demonstrates conceptual and practical expertise in data engineering and basic knowledge of related disciplines
• Strong understanding of data architecture principles and best practices

Business Expertise:

• Has knowledge of data integration best practices and how they integrate with other systems
• Understands business requirements and can translate them into technical solutions
• Awareness of industry trends in data engineering and analytics

Leadership:

• Acts as a resource for colleagues with less experience
• May lead small to medium-sized data projects
• Mentors junior team members on data engineering practices

Problem Solving:

• Solves complex data integration and pipeline problems
• Takes a new perspective on existing solutions
• Exercises judgment based on the analysis of multiple sources of information
• Optimizes data flows and improves system performance

Impact:

• Impacts data-driven decision making across the organization
• Influences data architecture and engineering practices
• Works within broad guidelines and policies to implement robust data solutions

Interpersonal Skills:

• Explains technical concepts and data solutions to non-technical stakeholders
• Works to build consensus across teams
• Collaborates effectively with cross-functional teams
• Communicates data quality and pipeline issues clearly