Senior Big Data Developer
360 IT Professionals- Location
- Santa Clara, CA, United States
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 9y ago
Job role Senior Big Data Developer
Job Location: Deerfield, IL 60015
Project Duration: Long-term and Fulltime
VISA: H1B Transfer, Citizen, GC.
Salary: Base Salary + Relocation expenses + Benefits
Description
Primary Responsibilities
- Work on tasks assigned by Technical Architects related to a proof-of-concept in the area of big data.
- Many activities will involve implementation of a series of use cases for a given technology stack which includes: HDInsight, Azure Event Hub (or Kafka), Azure Data Factory (or Talend), HBASE, Hive, Pig, Sqoop and Flume.
- Recommend, design and code efficient and effective solutions for challenging problems for large work efforts of medium to high complexity.
- Collaborate with architects and developers and present alternative approaches to complex problems.
- Document techniques/approaches, process flow diagrams and data models as required.
Required Skills
- Overall 5+ years of experience with at least 2+ years with big data.
- 3+ years with Java, J2EE & databases like Oracle and/or SQL Server
- 2+ years of experience in developing systems/applications with: Hadoop ecosystem including Hadoop (Hortonworks or Cloudera), Map Reduce Pig, Hive, Sqoop and Flume.
- 1+ years of experience with Spark, Spark Streaming or Storm and Kafka.
- Experience with any ETL tool.
- Experience with troubleshooting performance issues, SQL tuning etc.
- Experience with shell scripting using Unix, PERL or Python
- Experience with NoSQL database technologies such as Cassandra or HBASE
Candidates preferred with experience in following platforms and technologies:
- Microsoft Azure
- Azure HDInsight or Hortonworks
- Azure Data Factory or Talend
- Azure Event Hub or Apache Kafka
- Cassandra and HBASE.
All your information will be kept confidential according to EEO guidelines.
Skills
- Azure
- Kafka
- Azure Data Factory
- Talend
- HBase
- Hive
- Java
- J2EE
- Oracle Database
- SQL Server
- Hadoop
- Spark
- Storm
- ETL
- SQL
- Shell
- Unix
- Perl
- Python
- Cassandra
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