Big Data and Cloud Data Capability Engineer

Key Skills

Apache Hive, Azure, Clustering, Continuous Integration & Continuous Delivery - CI/CD, Databricks, DevOps, Github, Kubernetes-K8s, Linux Operating system, Python Programming, Snowflake, Spark-SQL

Job Description

Designs, develops, validates, and debugs software to enable Data Platform features to optimize for cloud, hybrid cloud, and/or on-prem deployment models on technologies like, Hadoop, Kubernetes, Azure Databricks, Azure DevOps and Snowflake. Understands partner software stacks and optimizes as required to enable cloud and on-premises software. May include the development of reference cloud platform software and improving or enabling customer designs to obtain the greatest value for our customers. May specialize in specific technology domains including data services (ingestion, database, analytics), and opensource development projects. Day to day duties will include perform Capability Engineering for Cloud Data Analytics and Big Dat Analytics, including interfacing with internal customers to understand their requirements and collaborating within the team to meet those requirements.

Qualifications

Education Qualification: BE/B.Tech/MCA in Computer Science/Engineering with 6+ years of experience.

Must have hands-on experience in below:

• Rich experience in Automation and Scripting, using Python, Shell Script, Ansible etc. technologies.
• Should have DevOps experience, i.e., maintaining Code repos and CI/CD configuration using Github and/or Azure DevOps
• Experience with Observability tools, like Nagios, New Relic, Grafana etc.
• Soft Skills: Critical thinking, excellent verbal/written communication, and presentation skills along with, strong problem-solving and analytical abilities.

Bonus points if you have experience in below:

• Managing Kubernetes Clusters, including skills of deploying pods, services, and deployments
• Hadoop Platform and Big Data Technologies, like Spark, Hive, HBase, Impala etc.
• Azure Cloud Data Analytics Experience in technologies like, Azure Data Factory, Databricks, Snowflake
• Technical knowledge in Linux Administration on RedHat and CentOS

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.