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• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 3rd Aug 2024

Understand data confidentiality security compliance needs and apply data protection rules including data sharing filtering and fencing at storage compute and consumption layers

 

Design data protection solutions at database table column level and APIs based on enterprise standard data security privacy architecture principles and reference architectures

 

Design the structure and layout of data systems including databases warehouses and lakes

 

Select and implement database management systems that meet the organizations needs by defining data schemas optimizing data storage and establishing data access controls and security measures

 

Deliver exceptional business value by enhancing data pipeline performance ensuring timely orchestration and upholding data governance

 

Translates high level business requirements into data models and appropriate metadata test data and data quality standards

 

Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer term strategic roadmaps

 

Leads and participates in the peer review and quality assurance of project architectural artifacts

 

Defines and manages standards guidelines and processes to ensure data quality

 

Works with IT teams business analysts and data analytics teams to understand data consumers needs and develop solutions

 

Evaluates and recommends emerging technologies for data management storage and analytics

 

Requirements

 

A bachelors degree in computer science data science engineering or related field

 

At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives

 

Experience leading projects involving data lakes data warehousing data modeling and data analysis

 

Proficiency in the design and implementation of modern data architectures and concepts such as cloud services AWS Azure GCP real time data distribution Kafka Dataflow and modern data warehouse tools Redshift Snowflake Databricks

 

Experience with various database platforms including DB2 MS SQL Server PostgreSQL Couchbase MongoDB etc

 

Understanding of entity relationship modeling metadata systems and data quality tools and techniques

 

Ability to assess traditional and modern data architecture components based on business needs

 

Experience with business intelligence tools and technologies such as Informatica Power BI and Tableau

 

Exceptional communication and presentation skills

 

Strong analytical and problem solving skills

                                                                                                                                                                                                                                 

Ability to collaborate and excel in complex cross functional teams involving data scientists business analysts and stakeholders

 

Ability to guide solution design and architecture to meet business needs