Lam Research is seeking highly enthusiastic and motivated individual with good technical problem-solving skills to work on the Big Data analytics platform. We are searching for applicants who are able, willing, and excited to learn all about building data analytics platform in a distributed system and cloud native services.
Responsible for design and development of Big Data analytical applications and continuously enhance the project codebase
Needs to have strong Big Data and Spark Optimization knowledge
Help build high performance and flexible streaming pipelines that can rapidly evolve to handle new technologies, techniques, and modeling approaches
Research and evaluate current and upcoming technologies and frameworks.
Buildout of data ingestion framework/pipelines and troubleshoot complex issues in a distributed platform
Write complex ETL processes and framework using cloud native services like Azure Data Factory, Azure Functions, Azure batch
Implement large-scale near real-time streaming data processing pipelines
Identify and assist in implementation of automation for the validation and approval of design specifications.
Work with infrastructure engineers to ensure smooth deployments and sustainable performance for the platform.
Minimum Qualifications
Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.
Bachelor’s Degree in Computer Science, Computer Engineering, MIS or related field.
10+ Years of IT Experience.
Should have experience with distributed systems (Spark, HDFS, ADLS, Kafka, Solr, Elastic Search, Kerberos, Oauth2, Security- Authorization & Authentication)
Prior experience working on stream processing systems in production such as enabling real time data analytics at scale using technologies like Apache Kafka, Flink, Spark, Druid, Cassandra, Elasticsearch etc.
Systems Engineering – you’ve built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems
Minimum of 5 years experienced working in cloud native environment (Azure, AWS, GCP)
Hands on experience developing in Spark, Java, Spring Boot, Python
Our Commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
We Look Forward to Your Application
*More than 5 years experience. *Female Only. *Person with positive attitude. *Salary Negotiable. *Language- English Fluent, Hindi-Advantage. *Person with Driving...
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