Sr. Hadoop Data Engineer

• 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

QUALIFICATIONS

• 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.