Sr Application Architect - Hadoop

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Job Summary

This position is responsible for ensuring alignment of project specific designs with application architecture roadmap; supporting project and/or product teams on functional and technical design activities; defining the interaction between application packages, databases, and middleware systems to optimize product functional coverage; acting as subject matter expert (SME) for products that require integration into the application.

Required Job Qualifications

• Bachelor degree and 5 years Information Technology experience OR Technical Certification and/or College Courses and 7 year Information Technology experience OR 9 years Information Technology experience.
• Experience in application and/or product feature design.
• Experience in application configuration
• Experience in application development platforms and/or languages (HTML/CSS/Java/ASP.Net/PHCSC/Ruby/C#).
• Experience in cloud computing (SaaS / PaaS).
• Experience in DevOps and/or continuous deployment and/or integration process and tools (Bamboo, jenkins, RallyDev, Jira).
• Experience in integration technologies ( Tibco/Informatica/CAS).
• Experience in iterative and/or agile and/or scrum development.
• Experience in solution architecture.
• Application domain knowledge.
• Prototyping.
• Problem solving / analytical thinking.
• Teamwork and collaboration.

Preferred Job Qualifications

• Linux/Unix Proficiency: Deep understanding of Linux OS, command-line operations, file systems, process management, and shell scripting (Bash/Perl), as Hadoop primarily runs on Linux
• Core Hadoop Ecosystem: Practical knowledge of Hadoop architecture including HDFS (Hadoop Distributed File System) for storage, YARN for resource management, and MapReduce
• Cluster Management & Monitoring: Experience with tools like Apache Ambari Nagios, Ganglia, or enterprise distributions like Cloudera Manager to track cluster health
• Ecosystem Tools: Familiarity with supporting data tools commonly integrated with Hadoop, such as Hive, HBase, Spark, and Sqoop
• Cluster Management & Schedulers: Familiarity with cluster coordination/job flows through tools like Zoo Keeper or Oozie.
• Networking & Hardware Basics: Understanding of CPU, memory, storage configurations, and network bottlenecks in distributed node environments
• Automation & Security: Knowledge of configuration management tools (Puppet, Chef, Ansible) and security/authentication protocols like Kerberos
• Programming Languages: Proficiency in Java, Python, or Scala for writing robust backend code and MapReduce jobs
• Complementary Frameworks: Knowledge of Apache Spark for fast, high-level data processing

NOTE

This is a WFH role. Sponsorship is not available including if you are currently on OPT.

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Pay Transparency Statement

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.

HCSC Employment Statement

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range

$112,200.00 - $202,600.00

Exact compensation may vary based on skills, experience, and location.