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Data Scientist Trainee
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General Details
Description
Experience in deep learning algorithms, large datasets, and unstructured data
Experience in Machine Learning solving business problems
Enrolled in a B. Degree Computer Science/Statistics/Applied Statistics/Applied Mathematics (Postgraduate preferable)
Implements analytical algorithms for object detection, segmentation, classification, and recognition
Is responsible for discovering insights and identifying business opportunities using algorithmic, statistical, and mining techniques
Plays a strategic role in creative ideas for leveraging the business vast collection of data into new ground-breaking IT solutions
Establishes accurate and scalable analytics systems
Interprets the results of statistical and predictive experiments and regression analysis and integrates this into complex business processes
Conducts customer specification studies, gathers requirements, conducts system architectural design and turns the requirements into a final product
Provides complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure
Collaborates with various team members and facilitates the development, automation, and seamless delivery of analytics solutions into Big Data clusters
Is responsible for Data Warehousing and ETL using Informatica Power Center
Analyses the data and build reports by using data visualisation tools such as Tableau, Cognos, MicroStrategy
Imports and exports data using Sqoop from HDFS to Relational Database Systems and vice-versa
Codes and tests the Standardisation, Normalisation, Load, Extract and AVRO models to filter / massage the data and its validation
Languages: Python, Scala, SQL, Java, PL/SQL
Web Technologies: Web Service, SOAP, Rest web services, JSP
Big Data Eco System: HDFS, Spark, Yarn, Map Reduce, Hive, Pig, Sqoop, ZooKeeper, Kafka, Oozie, Hue, Impala,
Scripting Languages: HTML, JavaScript, CSS, XML and Ajax
Machine Learning: R, SAS, Python, SKLearn, MATLAB, Octave, Spark ML
No SQL Databases: Cassandra, HBase, MongoDB, Vertica
Cloud: AWS, EC2, S3, EMR, Azure
Operating System: Windows, Linux and Unix
BI/DWH/ETL Tools: Informatica 5/9.1/8.6, Tableau, Cognos
DBMS / RDBMS Oracle 12c/11g, SQL Server 2014, DB2, Teradata 14/12, AWS Redshift
IDEs: Eclipse, Jupiter Notebooks, Microsoft Visual Studio, Flex Builder, Spyder, TOAD, NetBeans, PL/SQL Developer, Putty, Squirrel SQL
Version Control: SVN, CVS, Git, and Rational Clear Case
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Id Subtitle 1078242433
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