Big-Data Hadoop Engineer

Big-Data Hadoop Engineer

Vacancy expired!

Greeting from Takashi. We have a specific requirement from one of our client for which we are actively sourcing. If you feel that your experience and skill set might be suitable for this requirement, please send us your most recently updated resume along with your contact information.

• Experience with developing Hive QL, UDF’s for analyzing semi structured/structured datasets.
• Experience with Java,Spring framework, scala, Pyton Web Services and REST API's.
• Experience in the data warehousing and Business Intelligence systems.

• 4+ years of hands-on Development, Deployment and production Support experience in Big Data environment.
• 8 + 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.