Associate Product Architect- Bigdata Job Vacancy in D Cube Analytics Bengaluru, Karnataka – Updated today

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Full Details :
Company Name :
D Cube Analytics
Location : Bengaluru, Karnataka
Position :

Job Description : Experience:

8+ years

JOB DESCRIPTION
Work with extremely talented peers in a competitive and fun filled environment building performance efficient, highly scalable, configurable solutions spanning multiple
technologies and platforms
Work in a Cross functional team along with other Data Engineers, QA Engineers and DevOps Engineers
Work with Functional Analysts to understand the core functionalities of the solution and
build Data Models , Design Documents
Develop, test and implement data solutions based on finalized design documents
Ensure adherence with Security and Compliance policies
Stay up-to-date with evolving cloud technologies and development best-practices including open source software
Mentor colleagues within the team
Work in an Agile Environment
SKILLSET
BE, BS or MS in Computer Science or related field with overall 5 Plus Years of working experience
Proficiency in SQL Writing, SQL Concepts, Data Modelling Techniques & Data Engineering Concepts is a must
Hands on experience in ETL process, Performance optimization techniques is a must
Candidate should have taken part in Architecture design and discussion
Minimum of 4 years of experience in working with batch processing/ real-time systems
using various technologies like Data bricks, HDFS, Redshift, Hadoop, Elastic MapReduce
on AWS, Apache Spark, Hive/Impala and HDFS, Pig, Kafka, Kinesis, Elasticsearch and
NoSQL databases
Minimum of 4 years of experience working in Data warehouse or Data Lake Projects in a
role beyond just Data consumption
Minimum of 2 years of extensive working knowledge in AWS building scalable solutions
Equivalent level of experience in Azure or Google Cloud is also acceptable
Minimum of 2 years of experience in programming languages ( preferably Python )
Experience in Graph Databases is a good to have
Experience in Pharma Domain will be a very Big Plus
Familiar with tools like Git , Code Commit , Jenkins , Code Pipeline
Familiar with Unix/Linux and Shell Scripting

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