Hi Role : Bigdata Architect
Location: Navi Mumbai
Company : ASM Enterprise
Job Description
Educational Qualifications
Please mention minimum grade/percentage, if over and above organizational guidelines, as well as names of institutes, if applicable) B.E./B.Tech. in Computer Science
Years of Experience (minimum & maximum) 12 to 18 yrs
What are the organizations that the candidate should have worked for?
(Indicate which criteria are mandatory)
Leading IT Services companies
Implementing large scale big data solutions for non-IT organizations
What are the nature and scope of responsibilities the candidate should have handled?
(Indicate which criteria are mandatory)
Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms.
Experience with one of the large cloud-computing infrastructure solutions like Amazon Web Services or Elastic MapReduce
Knowledge & Skills (Indicate which criteria are mandatory)
- Stong knowledge on Kafka, Elastic Search, Apache Hive, Spark, Storm, MapReduce, Couchbase, Hadoop, and Cassandra.
- Basic DB administration experience (Oracle, SQL Server & NO-SQL database).
- Hands on experience on OOP languages and data structure.
- experience working on tools like Slack, Kibana, Grafana, pinpoint, zoomdata etc.
- firm understanding of major programming/scripting languages like Java, Linux, PHP, Ruby, Pyton and/or R. Experience in working with ETL tools such as Informatica, Talend and/or Pentaho will be an added plus.
- Should understand and have experience with data security and privacy concerns that could arise and that should be taken care of from the start.
- Should be able to benchmark systems, analyse system bottlenecks and propose solutions to eliminate them;
- Should be able to clearly articulate pros and cons of various technologies and platforms
- Should be able to document use cases, solutions and recommendations;
- Should be able to Develop and maintain a cloud solution.
Understanding / Experience with disciplines such as
- Machine learning;
- Conceptual modelling;
- Statistical analysis;
- Predictive modelling;
- Hypothesis testing.
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