Hadoop Developer

Job ID : 23821

Job Title : Hadoop Developer

Location : Michigan

Comapny Name : Logging-in

Job Type : Full-Time

Industry : Computer/Software

Salary : $65000 - $70000 per year

Work Authorization : ["OPT"]

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

Posted on : 09-16-2019

Required Skills : Hadoop

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:

Job Description

We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

Responsibilities

Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Implementing ETL process
Monitoring performance and advising any necessary infrastructure changes
Defining data retention policies

Skills and Qualifications

Proficient understanding of distributed computing principles
Management of Hadoop cluster, with all included services
Ability to solve any ongoing issues with operating the cluster
Proficiency with Hadoop v2, MapReduce, HDFS
Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
Experience with Spark
Experience with integration of data from multiple data sources
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge of various ETL techniques and frameworks, such as Flume
Experience with various messaging systems, such as Kafka or RabbitMQ
Experience with Big Data ML toolkits, such as Mahout, SparkML.
Good understanding of Lambda Architecture, along with its advantages and drawbacks
Experience with Cloudera/MapR/Hortonworks