Responsibilities: - linkedin is must
Requirements:
3-6 years' experience in Hadoop stack and storage technologies, HDFS, MapReduce, Yarn, HIVE, sqoop, Impala , spark, flume, kafka and oozie
Extensive Knowledge on Bigdata Enterprise architecture (Cloudera preferred)
Excellent analytical capabilities - Strong interest in algorithms
Experienced in HBase, RDBMS, SQL, ETL and data analysis
Experience in No SQL Technologies (ex., Cassandra/ MongoDB, etc.)
Experienced in scripting(Unix/Linux) and scheduling (Autosys)
Experience with team delivery/release processes and cadence pertaining to code deployment and release
Research oriented, motivated, pro-active, self-starter with strong technical, analytical and interpersonal skills
A team player with good verbal and written skills, capable of working with a team of Architects, Developers, Business/Data Analysts, QA and client stakeholders
Versatile resource with balanced development skills and business acumen to operate at a fast and accurate speed
Proficient understanding of distributed computing principles. Continuously evaluate new technologies, innovate and deliver solution for business-critical applications
Desired skills:
Object-oriented programming and design experience
Degree in Computer Science or equivalent
Experience with automated testing methodologies and frameworks, including JUnit
Python IDEs (Django, Flask), data wrangling and analytics in a python based environment
Fundamentals of Python Data Structures, Collections, Pandas for file and other type of data handling, visualizations, etc.
Visual Analytics Tools knowledge (Tableau)
Experience with Big Data Analytics & Business Intelligence and Industry standard tools integrated with Hadoop ecosystem (R , Python)
Data Integration, Data Security on Hadoop ecosystem (Kerberos)
Any Big Data certification (ex., Cloudera's CCP, CCA)