Details:

Job Description and Responsibilities:

• 4+ years Big Data ecosystem experience along with admin, development, cloud and app integration experience
• 3+ years Consulting experience
• 3+ years enterprise projects – customer centricity, optimization, predictive engines, enterprise data hub
• Experience in Big Data application development involving various data processing techniques Data Ingestion, In-Stream data processing, Batch Analytics
• Excellent knowledge, experience with the Hadoop stack (Hadoop, Spark, Spark Streaming, H2o.ai, Hbase, Sqoop, Flume, Shark, Oozie, etc.).
• Solid exposure to Core Java and distributed computing
• Good understanding of NoSQL platforms like HBase, Couch Base, Vertica, MongoDB, Cassandra
• Proficient in SQL queries and stored procedures.
• Proficient in SQL, NoSQL, relational database design and methods for efficiently retrieving data Prior experience with Hadoop, HBase, Hive, Pig and Map/Reduce.

 

• Strong development experience is a must. Consistent track record for education and professional career.
• Experience with Apache Spark (required)
• Experience with Hadoop administration and development (required)
• Good to have experience with Storm, Kafka, NiFi, Spark Streaming, Spark MLlib, Spark GraphX, Flink, Samza, Map Reduce
• Familiarity with data loading tools like Flume, Sqoop.
• Knowledge of workflow/schedulers like Oozie.
• Proven understanding with Hadoop, HBase, Hive, Pig, and HBase.
• Good understanding of Object oriented design, Design Patterns      

Min. Qualification:

open

Skills Required:

apache spark, hadoop, hbase, hive, linux