Our ideal candidate will have the following responsibilities:
Responsibilities
Owning and delivering installation and configuration of AI products.
Participating in solution architecture discussions to estimate hardware sizing.
Analysing defects and conducting effective triaging.
Working closely with engineering, product, solution architects in resolving defects.
Proactively participating in product release cycle and signing off on client releases.
Supporting current ETL designs and coding to resolves defects on existing solutions
Ensuring data quality
Translating data access, transformation, and movement requirements into functional requirements and mapping designs.
Developing logical and physical data flow models for ETL applications.
Documentation and Training
Communicating effectively with the client and manage expectations.
Must-Have Requirements
2+ years of experience with big data application stack including HDFS, YARN, Spark, Hive and Hbase.
1+ years of experience in AWS Cloud Setup
1+ years of experience in Enterprise SW installation especially packages
Good to have experience/skills
1- or 2-year experience in ETL in Big Data hadoop environment (Hive/Hbase knowledge).
1 or 2 years of experience in shell scripting or python.
2+ years of experience in Hadoop Big Data projects Experience with developing, tuning and debugging code, python/shell scripts loading into Hive, Mariadb, mysql.
Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
Experience working with CI/CD tools like Jenkins and various test report and coverage.
Experience defining and automating the build, versioning and release processes for complex enterprise products.
Knowledge of python and hands-on coding experience is a plus.
PySpark understanding and experience
Client interaction.
Desired Non-technical Requirements
Good verbal and written communication skills.
Team Player.
Strong desire to work with startups.
Compensation & Job Perks
Opportunity to build AI and Analytics products for Global Markets
Opportunity to innovate, Learn and Grow
Attractive variable compensation package
Flexible working hours - everything is results-oriented
Opportunity to work with an award-winning organization in the hottest space in tech - artificial intelligence and advanced machine learning.
Get in touch with us
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