Working to integrate open-source components into data-analytic solutions
Willingness to continuously learn & share learnings with others
Required:
5+ years of direct applicable experience with key focus:
Glue and Python; AWS; Data Pipeline creation
Develop code using Python, such as o Developing data pipelines from various external data sources to internal data.
Use of Glue for extracting data from the design data base. Developing Python APIs as needed
Minimum 3 years of hands-on experience in Amazon Web Services including EC2, VPC, S3, EBS, ELB, Cloud-Front, IAM, RDS, Cloud Watch.
Able to interpret business requirements, analyzing, designing and developing application on AWS Cloud and ETL technologies
Able to design and architect server less application using AWS Lambda, EMR, and DynamoDB
Ability to leverage AWS data migration tools and technologies including Storage Gateway, Database Migration and Import Export services.
Understands relational database design, stored procedures, triggers, user-defined functions, SQL jobs.
Familiar with CI/CD tools e.g., Jenkins, UCD for Automated application deployments
Understanding of OLAP, OLTP, Star Schema, Snow Flake Schema, Logical/Physical/Dimensional Data Modeling.
Ability to extract data from multiple operational sources and load into staging, Data warehouse, Data Marts etc. using SCDs (Type 1/Type 2/ Type 3/Hybrid) loads.
Familiar with Software Development Life Cycle (SDLC) stages in a Waterfall and Agile environment.
Nice to have:
Familiar with the use of source control management tools for Branching, Merging, Labeling/Tagging and Integration, such as GIT and SVN.
Experience working with UNIX/LINUX environments
Hand-on experience with IDEs such as Jupiter Notebook
Education & Certification University degree or diploma and applicable years of experience

About NTT DATA

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