Senior Technical Specialist

Job Summary

To conceptualize, design and deliver product / sustenance delivery through the team as per defined scope,by adopting industry-leading practices, thus contributing significantly to the advancement and success of the project.

Hands on development work on Scala/Spark, Hadoop, platform operations with Quantexa Certified Experience.

Data integration – ETL tools like IBM Datastage and Informatica. Ingestion mechanism like Flume & Kafka.
Data modelling – Dimensional modelling using RDBMS, NO-SQL and Big Data technologies.
Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE.
Data processing frameworks – Scala/python/Spark.
Hands-on experience with databases like Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB)
Data Platform administration for Hadoop, Elastic, Oracle.
Exposure to containers, kubernetes, application setup (load balancer), logging, Prometheus

Key Responsibilities

1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2.

To support as an Subject Matter Expert:

3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. Ensuring a sufficient pool of skilled professionals in the designated technology, through activities such as conducting interviews, providing training sessions and offering mentorship.
5. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology.
6. To support competency development with envisioning and articulating propositions – building collaterals/ whitepaper creation, market trend analysis etc.
7. To recommend client value creation initiatives and implement industry best practices (on specific technology/product)

Skill Requirements

Data integration – ETL tools like IBM Datastage and Informatica. Ingestion mechanism like Flume & Kafka.
Data modelling – Dimensional modelling using RDBMS, NO-SQL and Big Data technologies.
Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE.
Data processing frameworks – Scala/python/Spark.
Hands-on experience with databases like Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB)
Data Platform administration for Hadoop, Elastic, Oracle.
Exposure to containers, kubernetes, application setup (load balancer), logging, Prometheus

Other Requirements

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