Google Cloud Big-Data & Python Engineer at NucleusTeq #vacancy #remote

NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics, Cloud, Enterprise Automation, Block-chain, Mobility etc.

We are enabling several fortune 1000 clients in USA, Canada, UK & India to navigate their digital transformation.

Position: Google Cloud Big-data & Python engineer for top 100 online Banks

Location: Phoenix, AZ

Role Requirement :

Big Data platform Engineer (5+ years)

Tech Stack : GCP Java 1.6+, Spring Boot, Spring MVC, Hadoop , Hive, HDFS, Map Reduce, Spark Batch & Spark Streaming, Scala, Kafka

Google Cloud stack as IAAS is strongly preferred

Proven hands-on Software Development experience

Proven working experience in Java development

Hands on experience in designing and developing Big-Data Platform components such as Custom Metadata, Data Management , Data Standardization, Data Quality, Data Encryption,

Hands on experience working on Hadoop ecosystem (Hadoop , Hive , HBase , PIg)

Hands on experience in the Spring Boot

Hands on experience in build and deploying web applications in tomcat, jboss web servers.

Object Oriented analysis and design using common design patterns.

Excellent knowledge of map reduce and relevant big data programming paradigms

Experience with test-driven development

Preferable : Spark programming, Python experience is good to have

data-quality HBase spark-streaming Scala data-management Spring Boot Python object-oriented-analysis design-patterns jboss encryption Apache Kafka hdfs Tomcat Apache Hive TDD apache-pig Big data Google Cloud Platform (GCP) iaas Spring MVC Java Hadoop Software Developer

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