Preferred Experience:
Min last 4 yrs bigdata experience
Experience working with Big Data eco-system including tools such as HDFS, Spark, Map Reduce, Sqoop, HBase, Hive, Impala, Oozie.
Performance tuning, table partitioning and indexing, process threading, bucketing, UDF User Defined Function (UDAF) and UDAF User Defined Aggregate Function (UDAF)
Hands-on experience with commercializing Big Data applications (e.g. configuration management, monitoring, debugging, and security
Experience in Oracle PL/SQL Data modelling/Design and development experience
Experience in leading and delivery of Hive/Hadoop based platforms
Experience in Big Data, Data Analytics and ETL
Experience in Hive/Hue/Sqoop/HiveSQL/Partitioning and proven track of delivered projects
In depth knowledge of various Relational (e.g. Oracle) and data stores and migration technologies across various databases.
Knowledge and ability to work in Impala/Cognos/Arcadia analytical views/Paxata analytical tool
Experience over bitbucket or any version tool , JIRA is required.
Strong real time experience on PySpark, SparkSQL, Hive, Sqoop and UNIX shell scripting knowledge
Strong expertise on Spark/Hive/Impala performance technique
Need good exposure to develop ETL pipelines with Oracle/SQL Query knowledge.
Leadership/Personal Qualities:
Ability to work/lead with minimal technical guidance
Be creative, energetic and passionate, driven by the desire to achieve a world-class standard of performance and exceptional customer experience
Be an intelligent risk taker, someone who challenges the status quo, operates across boundaries and seeks win-win outcomes
Possess uncompromising ethics, unwavering integrity and the confidence and conviction to live and uphold the values of
Be disciplined in execution; retaining tight governance over multiple dimensions of performance; ensuring commitments are understood and met.
Be an outstanding leader of people able to create a compelling vision and deeply engage, inspire and motivate people to achieve beyond their own expectations.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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