Big Data Engineer- Mumbai/ Delhi/ Gurgaon (5-7 Years of Experience)

550k to 1000k 0.0 years Delhi , Gurugram , Mumbai

Apache Spark , Hadoop , Hbase , Hive , Linux , Mapreduce , Oozie , Spark , Storm , Unix

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Job Description and Responsibilities

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      

College Preference

Tier 1 : Entire Education

Minimum Qualification

No Restriction

Compensation

550k to 1000k

Skills hiring for

Apache Spark , Hadoop , Hbase , Hive , Linux , Mapreduce , Oozie , Spark , Storm , Unix

Locations hiring at

Delhi , Gurugram , Mumbai

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