Hadoop Engineer

TECHNICAL KNOWLEDGE AND SKILLS:

• Project Experience in Query Processing Language (QPL) a search engine independent technology for Advance Query Processing is highly desirable.
• 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 Client models using MLLib or any Client 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.