Gather requirements, designing a solution, determining the effort to implement the solution, and possibly leading the team to implement the solution
To be a self-starter and to able to work analytically in a problem-solving environment
Designs, codes, tests for tracks/modules in projects under limited supervision
Analyze existing Hadoop systems/Applications, making recommendations to improve performance, and possible implementing those recommendations
Hadoop Architect will be responsible for developing Hadoop based solutions to support typical use cases such as data ingestion (ETL), machine learning analytics, data archiving, text analytics and reporting
Performs long-term evaluations of systems, databases, and solutions
Analyze planned usage patterns for a Hadoop cluster and developing a set of hardware specifications to support the usage
Perform detailed systems and data analysis to provide high quality and detailed open-source tools and Hadoop big data platform architecture designs
Willingness to drive people on all sides of an issue to a common understanding and then drive them toward resolution
Should be able to clearly communicate ideas in technical or business terms with their peers across IT
Define Big Data/Hadoop technology strategies and roadmaps
Architect and design solutions utilizing Hadoop and associated technologies, with a focus on delivering solutions using Azure Cloud
Experience in building software or algorithm from the ground up and can participate in developing new solutions
Build production ready highly scalable, available, fault-tolerant data processing systems using Azure technologies, Spark, Elasticsearch and other big data technologies
Qualifications for Hadoop Architect
10+ years’ experience with data related positions and responsibilities
Expertise on the Azure Cloud using core cloud data warehouse tools like Azure Data Factory, Azure Databricks, Azure SQL DW, Azure Synapse, CDP, and other Big Data related technologies
Hands-on experience with Visualization and BI tools and reporting software
Proficiency in Python and writing software for distributed systems
Experience around developing code for large clusters with huge volumes of data – streaming/batch code
Conceptual/working knowledge of basic data management concepts like ETL, Data Quality, RDBMS
Expertise in cloud platforms, data engineering, data analytics using open-source projects such as Apache Spark, and Delta Lake
Hands-on administration level experience with the Hadoop stack
Advanced knowledge of ETL/Data Routing and understanding of tools such as NiFi, Kafka
Good understanding of key agile engineering practices, CI/CD, Test Driven Development and DevOps
Experience in configuration and tuning of Hadoop products
Big Data Solutions Architect – Data & Analytics
Qualifications
Education:
Bachelor’s Degree
Skills
Certifications:
Languages:
Years of Experience:
4 – 7 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.
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