Job Title: BigData Engineer
Reporting to: Technical Lead
Location: India
Requirements:
Our ideal candidate will have the following 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
● Translating data access, transformation, and movement requirements into
functional requirements and mapping designs.
● Developing logical and physical data flow models for ETL applications.
● Communicating effectively with the client and manage expectations.
Requirements:
Must-Have
● 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 packagesGood to Have
● 1- or 2-year experience in ETL in Big Data Hadoop environment
(Hive/HBase
knowledge). 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. Defining and automating the build, versioning, and releaseprocesses
for complex enterprise products and Client interaction.
● Knowledge of python and hands-on coding experience is a plus.
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
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