Application Architect V (Closed)
SkillStorm is seeking a Data Architect for our client in Charlotte, North Carolina. Candidates must be able to work on SkillStorm's W2; not a C2C position. EOE, including disability/vets.
Description:
- Good knowledge of database structures, theories, principles, and practices Experience in Java and Knowledge in Hadoop (HDFS/HBASE /SPARKSQL and SPARK/Scala with or prior experience in MapReduce) concepts and ability to write Spark/Scala RDD & SQL jobs. Proven understanding with Hadoop, Spark, Hive, and Hbase and ability to write Shell scripting. Familiarity with data loading tools like Sqoop, Flume and Kafka. Knowledge of workflow/schedulers like Oozie. Good aptitude in multi-threading and concurrency concept. Loading data from disparate data source sets. Certifications like Cloudera Developer (CCA175)/ Hortonworks Developer (Spark & Hive) /Administrator Certifications added advantage. Hands on experience with at least two NO SQL databases. Ability to analyze, identify issues with existing cluster, suggest architectural design changes. Ability/Knowledge to implement Data Governance in Hadoop clusters.
Desired Technical Skills:
- Python
- KUDU
- Restful Services
- Machine Learning/Predictive analytical
- Spark streaming
- Ability to coordinate competing priorities and drive team work
- Ability to work in diverse team environments that are local and remote
- Strong Communication skills (Verbal and Written)
- Work with minimal supervision
- Collaborate with business analysts and line of business as needed
Top 3 Must Have Skillsets Required:
- Bachelor's degree from an accredited college or university
- 4–7 years’ hands on experience in coding for the following Hadoop Eco System:
- Spark & Scala,
- Spark/RDD
- Spark-SQL
- HIVE
- Impala
- Java
- Oozie
- Autosys
- HBASE
- Shell Scripting
Candidates Must Have:
- Hadoop
- Spark
- Java
- SQL
- Shellscripting
#LI-DNI
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