Key Responsibilities

• Supports the design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse “big data” sources
• Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis
• Preparing data for prescriptive and predictive modeling
• Create new data validation methods
• Convert raw data into usable information for data scientists and business analysts to interpret.
• Collaborate with data scientists and architects on several projects

Requirements

• BTech/ MTech in Computer Science, IT, or similar field
• Previous experience as a data engineer or in a similar role
• Hands on experience in Shell Scripting and SQL.
• Strong working knowledge on sed, awk, grep and similar commands/tools
• Technical expertise with data models, data mining, and segmentation techniques
• Working knowledge of R and/or Python is preferred
• Adequate knowledge of data structures, algorithms and other foundational concepts of Computer Science
• Great numerical and analytical skills
• Data engineering certification is a plus
• Knowledge of version control tools and processes (e.g. Subversion, Git) is a plus
• Fundamental knowledge of big data handling methods and practices

Functional Knowledge

• Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities

Business Expertise

• Understands key business drivers; uses this understanding to accomplish own work

Problem Solving

• Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents

Qualifications

Education:

Bachelor’s Degree

Skills

Certifications:

Languages:

Years of Experience:

2 – 4 Years

Work Experience:

Additional Information

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.