- Must have experience in design and development of applications using Scala, Python languages on Hadoop.
- Must have developed and implemented integration processes involving shell scripting.
- Must have solid trouble shooting skills in identifying errors and to provide solutions.
- Must have 4+ years of experience in Spark.
- 5+ years' experience in any flavor of SQL dealing with complex queries, analytics, and data models.
- 3+ years' experience in any of the modern programming languages.
- Strong Software Development and Engineering skills with some basic knowledge in Machine Learning and Deep Learning.
- Experience in implementing applications using Spark framework on Hadoop platform.
- Experience in data processing using XML files, JSON, Excel, CVS, and other types of files.
- Experience in ETL and data processing on Hive and HBase.
- Experience in implementation of Scoop, Flume and Kafka etc.
- In-depth understanding of the main components of Hadoop:HDFS, Hadoop MapReduce, YARN.
- Experience in Devops: Automation of integration testing using Bamboo, JUnit and deployment of applications from development to production.
- Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark Understanding of foundational Machine Learning concepts and some Deep Learning basics.
- Candidate with a mixture of Software Development, Data Engineering and Data Science skills.
- Ability to write efficient code-- Good understanding of core Data Structures/algorithms is critical for engine development.
- Should have experience in AWS services like Glue, S3, Athena, EMR.
- Should have experience in Windows Powershell scripting.
- Good Analytical skills and experience in a cross functional team environment.
- Healthcare domain knowledge is preferred.
- The work will entail heads down coding, testing, data analysis, component packing/deployment.
- Strong SQL, Teradata, unix, Strong standard Big Data/hadoop skillset (Hadoop hive, sqoop, hdfs, etc) String Spark/python/scala.
- 3+ solid yrs experience with the above skillset.
- Design, code, install, and maintain appropriate systems software program.
- This is a lower-level development role - Which means absolute hands-on expertise is mandatory.
- Identify, evaluate, tailor, and direct the implementation of vendor-supplied software packages.
- Ensure the maintenance of adequate software systems documentation.
- Conduct quality assurance activities such as peer reviews and test plan development.
- Work on sprint team in agile, rapid development and deployment environment.
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Georgia Tech Research Institute Atlanta, United StatesCloud Engineer - CIPHER - Open Rank · ID: · 499386 · Type: · Researchers · Location: · Atlanta, GA · Categories: · Cybersecurity · Overview: · The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology ( ...
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CNA Search Atlanta, United StatesCNA Search is seeking a Talented Cloud Admin for a growing SaaS organization. · The main responsibilities include ensuring all customer-facing applications are available and performant 24x7x365, providing technical assistance troubleshooting and resolving issues at all layers of ...
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Big Data Hadoop Developer with Cloud - Atlanta, United States - Sunrise Systems
Description
Job Title: Big Data Hadoop Developer with Cloud
Location: Atlanta, GA 30308 / Richmond VA 23230 / Norfolk VA 23502 / Mason, OH 45040 / Woodland Hills CA 91367 / Thousand Oaks CA
Duration: 4 months contract with possible extension
Job Description:
Our client is looking for a Big Data Hadoop Developer with Cloud experience to build end-to-end business solutions and to work with one of the leading healthcare providers in the US. The ideal candidate must possess an excellent background in Big Data Hadoop development. The candidate must possess excellent written and verbal communication skills with the ability to collaborate effectively with domain and technical experts in the team.
Requirements:
Responsibilities:
The hourly rate for this position is between $51-56 per hour.
Compensation:
Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].
