Job Description :
Here are the skills required:
- Expert Hadoop knowledge and work experience
- Python / Java expertise
- Experience building data governance solutions is a must
- Experience with DevOps tools / platforms is a must
- Healthcare knowledge will be a plus
- Cybersecurity knowledge will be a plus
The Full-stack Engineer is responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes in being a full-stack engineer among others is Ownership & Accountability.
Your future duties and responsibilities
In addition to Delivery, the full-stack engineer should have an automation first and continuous improvement mindset. Should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes.
Key Characteristics
Design and architect the solution independently
Be fluent in particular areas and have proficiency in many areas
Minimize "meetings" to get requirements and have direct business interactions
Write referenceable & modular code
Passion to learn
Take ownership and accountability
Understands when to automate and when not to
Desire to simplify
Be entrepreneurial / business minded
Have a quality mindset, not just code quality but also to ensure ongoing data quality by monitoring data to identify problems before they have business impact
Take risks and champion new ideas
Required qualifications to be successful in this role
Bachelor''s Degree in Engineering or Computer Science.
2+ years of being part of Agile teams using scrum or kanban
4+ year experience designing technical solutions using object-oriented design concepts.
3+ years of developing working in an object-oriented language: C, C++, Java, Scala, or other OO complied language
3+ year of working experience with Hadoop ecosystem: HDFS, Spark, Pig, Hive & Impala
2+ years of scripting (python, ruby, perl, etc
2+ years of Big Data & SQL. Working with marquee clients is a plus.
Proficiency working with large data stores & Data Sets
Having AWS experience is a definite plus
Machine learning / data science knowledge will be useful in the role
Proficient in GIT and Jenkins
Excellent troubleshooting skills
Strong communication skills
Fluent in BDD and TDD development methodologies
Work in an agile CI/CD environment
Familiarity with Rally is a plus
Design knowledge with Hadoop, Teradata, Looker, and Tableau along with Cognos/Atscale tools is a plus
Knowledge and/or experience with Health care information domains is a plus
Desirable Qualifications
Bachelor''s degree in Engineering, Computer Science or a related discipline. At least eight, typically eight or more years of solid, diverse work experience in IT with a minimum of five years of experience in application program development, or the equivalent in education and work experience.