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Skills & experience:
- Overall experience of 2-10 years with relevant years on Big Data platform. A strong hold on fundamentals like RDBMS, Data Warehouse, Data Modelling, SQLs, ETL, Data Integration.
- Experience on tools like Hadoop, HDFS, Apache Spark, Hive, ElasticSearch, Map Reduce, Flume, Splunk, Google Analytics, Heroku
- Experience with No-SQL DBs and its corresponding data movement tools like impala, fluentd, logstash, Rabbit MQ, Kafka, MongoDB etc.
- Experience with machine learning tools or advance analytics tools like R, Storm, Rapidminer, Mahout, Kibana
- Ability to understand/use/design a data lake
- Experience on using multiple technology combination for business application development
- Working knowledge on any of the cloud platforms (e.g. AWS) would be an added plus
- Any certification in Big Data space will be a strong advantage.
- Knowledge of Agile or SDLC process is good to have
Desired Profile:
- Good communication skills both written and oral.
- Strong Education Background.
- Must be a Team player (Raises issues/concerns and seeks meaningful resolution)
- Strong interpersonal skills
- Well-developed business acumen
- Strong problem solving skills
- Strong sense of ownership and accountability of tasks with attention to detail
Qualification:
B.E./ B.Tech./ M.E./ M.Tech. from Premier Institute
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