Title: Big Data Hadoop Engineer
Location: Pleasanton, CA
Duration: 12+ Months
Technical Knowledge and Skills:
4+ years of hands-on Development, Deployment and production Support experience in Big Data environment.
4-5 years of programming experience in Java, Scala, Python.
Proficient in SQL and relational database design and methods for data retrieval.
Knowledge of NoSQL systems like HBase or Cassandra
Hands-on experience in Cloudera Distribution 6.x
Hands-on experience in creating, indexing Solr collections in Solr Cloud environment.
Hands-on experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL.
Must have experience with developing Hive QL, UDF's for analyzing semi structured/structured datasets.
Must have experience with Spring framework, Web Services and REST API's.
Hands-on experience ingesting and processing various file formats like Avro/Parquet/Sequence Files/Text Files etc.
Must have working experience in the data warehousing and Business Intelligence systems.
Expertise in Unix/Linux environment in writing scripts and schedule/execute jobs.
Successful track record of building automation scripts/code using Java, Bash, Python etc. and experience in production support issue resolution process.
Experience in building ML models using MLLib or any ML tools.
Hands-on experience working in Real-Time analytics like Spark/Kafka/Storm
Experience with Graph Databases like Neo4J, Tiger Graph, Orient DB
Agile development methodologies.