Be part of an exciting team that builds and supports the analytic applications that help Intel's Product Engineering team develop leadership products with over 70 Billion in annual sales.
You will be working within Intel's IT organization as part of the Product Engineering Data and Analytics department. Your teammates will be a group of unparalleled experts in both data and analytics as well as product engineering processes.
You will focus on delivering a world-class data and analytics platform enabling key insights for engineering managers, design engineers, and executive leadership in Product Engineering.
You will focus on data engineering, 100's of million log processes a day, petabyte-scale environment.
The Cloud Analytics - Software Development Engineer responsibilities will include but may not be limited to :
Develops applications that work in and on industry or hybrid cloud environments using capabilities and frameworks from internal and external cloud providers.
Develops and coordinates cloud architecture over various areas, including application development, identity and access management, network and data management, and security.
Defines the initial DevSecOps solution and links it to the cloud platform. Utilizes DevOps processes, automation, culture, and target platforms.
Leverages expertise in cloud platforms including Amazon Web Services, Google Cloud, Azure, building and designing web services in the cloud, orchestrating and automating cloudbased platforms, as well as frontend development of the user interface that typically run over various form factors including mobile and PC.
The ideal candidate should exhibit the ideal behavioral traits :
Passion for technology and software, with a focus on data and analytics.
Effective communication skills.
Analytical problem solving and troubleshooting skills.
Teamwork and partnership skills.
Demonstrate tolerance of ambiguity and self-motivation.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Bachelor's in Computer Science, Computer / Electrical Engineering, or a related field; OR equivalent experience (4 years) in addition to :
4+ years of industry experience.
1+ years of experience at : Building data engineering pipelines with MPP databases (for example AWS RedShift, Azure Synapse, Snowflake, Teradata).
Understanding of Lambda architecture design, database design and data modeling .In one or more of the following : C, C++, C# / Java, .
NET, Python, Object-Oriented Programming, CI / CD tools, scripting tools, and DevOps.
Advanced English level.
2+ years of experience in large-scale software development / integration.
1+ years of experience in containers, serverless, streaming technologies (Kafka, Kinesis, etc.), distributed systems design (SOA / microservices) concepts, and capabilities.
AWS Ecosystem experience.
Big Data (for example SPARK, Splunk, NoSQL).