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Job ID : 24768

Location : Farmington Hills

Company Name : Logging-in

Job Type : Full-Time

Industry : Computer/Software

Salary : $65000 - $70000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Hadoop Developer.

Benefits : None of These


Job Description :

Logging-in INC is one of the fastest growing IT consulting Firm for fortune 500 clients. We cater to the application development Support services needs of our clients and offer them technology-driven business solutions that meet their goals and corporate objectives.

WHY US? Logging-in knows what is in demand in the IT industry. In the wake of providing the best talent, we have meticulously designed our training programs in a way that they stand at par with the demand of the current market scenario. Our reach has been so wide that we are the preferred choice for our prime vendors.

Hadoop Developer:

Develop Hadoop ETL (Extract/Transform/Load) processes of critical data for use in front-end user analytical/visualization tools using the following technologies: Spark / Spark Streaming Scala HiveQL HBase/Phoenix Kafka Python Other relevant Hadoop technologies Provide Hadoop configuration and performance tuning expertise Hadoop flavor is Hortonworks Configuration dashboard is Ambari Database is HIVE and HBase Ensure code is properly tested and meets established standards. Practice established development disciplines such as good code management, branching and merging of code in a GIT repository Ensure code performs adequately to meet customer expectations. Ensure developed processes are running successfully and within allotted timeframes. Provide support for, troubleshoot and patch existing processes. Experience:

4-year degree in MIS, Computer Science or equivalent experience required 3+ years as a Hadoop Developer with deep experience in Hive and Spark Demonstrated expertise in Scala Relevant experience and expertise in Spark Streaming and Kafka Must have strong SQL skills, with relevant experience in Hive HQL Good understanding of query and table optimization, including partitioning and buckting Experience in the configuration of YARN, MapReduce for performance, security is a plus Experience with GIT code repository a plus Upstream Oil & Gas industry experience is a plus  

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