Sr. Hadoop Data Engineer

Requirements

• Bachelor's degree and 8+ years relevant experience or Master's degree and 6+ years of relevant experience
• 4+ years in industry implementing big data solutions on Hadoop
• Proficient understanding of distributed computing principles
• Proficiency with Hadoop v2, MapReduce, HDFS
• Experience with building stream-processing systems, using solutions such as Storm or Kafka and Spark-Streaming
• Good knowledge of Big Data querying tools, such as Pig, Hive, Phoenix
• Experience with Spark
• Experience with integration of data from multiple data sources
• Experience with 1 or 2 NoSQL/Graph databases, such as HBase, Cassandra, MongoDB, Neo4j
• Proficiency in a programming languages like SCALA, Java,Python
• Experience with Linux OS, shell scripting
• Experience with relational databases (SQL)
• Experience in working with real-time data feeds
• Experience in working with unstructured data
• Experience in implementing Scoop Jobs to Import/Export data from Hadoop
• Knowledge of various ETL techniques and frameworks, such as Pig, Hive, or Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Experience with Hortonworks Hadoop Data Platform (HDP)
• Experience with all or some of the following supporting Hadoop administration and security frameworks: HCatalog, Drill, NiFi, Oozie, Falcon, Ranger, Ambari, Zeplin.
• -Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
• -At least 2 years of experience with Information Technology
• ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.
• This is a Full-Time / Permanent job opportunity.
• Only for US Citizen and Green Card Holder
• ** All your information will be kept confidential according to EEO guidelines.

Additional Information

Preferred Selecting and integrating Big Data tools and frameworks required to provide requested capabilities Implementing Data ingestion and ETL processes on Hadoop Monitoring performance and advising any necessary infrastructure changes Defining data retention policies Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem Develop applications that are scalable to handle millions of events/records Design and launch scalable, reliable and efficient processes to move, transform and report on large amounts of data Participate in meetings with business (account/product management, data scientists) to obtain new requirements Follow our Agile software development process with daily scrums and monthly Sprints Ability to work collaboratively on a cross-functional team with a wide range of experience levels

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