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

Location:
Bangalore,IND

You'll 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.

At Applied Materials, we care about the health and wellbeing of our employees. 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.

Technical Skills Requirements

• Strong experience integrating and transforming data from multiple heterogeneous sources.
• Proficiency in building ETL/ELT pipelines using SQL, Python, and modern data engineering frameworks.
• Advanced skills in complex SQL development, performance tuning, and query optimization.
• Experience working with SQL Server, including optimization and migration efforts to Databricks (Spark SQL / PySpark).
• Practical experience with Data Engineering platforms such as:

• Airflow for orchestration
• Redwood (or Redwood-based pipelines, scheduling, or workflow orchestration)
• Databricks as a compute & engineering platform

• Ingest, merge, and transform data from multiple sources into clean, analysis‑ready datasets.
• Build, monitor, and optimize robust data pipelines, ensuring performance, reliability, and scalability.
• Manage and streamline high‑visibility SQL workflows, including weekly operational monitoring (Sundays).
• Lead/support the migration of SQL Server workloads to Databricks, ensuring high performance and consistency.
• Take full lifecycle ownership of Python‑based ML models-transition, deployment, monitoring, and updates.
• Ability to manage large datasets and combine information from multiple sources
• Performance tuning and debugging of complex SQL server structures
• Partner closely with cross‑functional teams to deliver complete end‑to‑end data solutions.
• Handle ad‑hoc data analysis and data request tasks to support business teams.
• Contribute to dashboard creation and improvements in Tableau/Power BI.
• Document workflows, best practices, and processes, ensuring clarity and long‑term maintainability.
• Participate in broader team initiatives, including CSR/community activities.
• Serve as a positive, supportive, and accountable team member who fosters a healthy work culture.

• Bachelors or Masters
• Strong communication skills