Data Modeller

Data Modeller

Fractal | Bangalore Urban, KA, IN

Posted a month ago

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Data Modeler
Brief About Fractal
Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process.
Fortune 500 companies recognize analytics as a competitive advantage to understand customers and make better decisions. We deliver insight, innovation, and impact to them by leveraging Big Data, analytics and technology and help them drive smarter, faster, and more accurate decisions in every aspect of their business.
Fractal has consistently been rated as India’s best companies to work for, by The Great Place to Work® Institute. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2019 by Forrester Research, and recognized as an “Honorable Vendor” in 2019 magic quadrant for data & analytics by Gartner.
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.
Job Responsibilities

Be an integral part of large-scale client business development and delivery engagements by understanding the business requirements
Follow best practices for naming conventions and coding practices to ensure the data model consistency
Work closely with clients, data engineers and ETL engineers to make sure the data model is followed correctly
Convert on-premises data warehouse data model to cloud data warehouse data model.
Involved in Metadata management and data governance

Qualification & Experience

A bachelor’s degree in Computer Science or related field with 3 - 5 years of technology experience in data Engineering projects
Must have 3 years of minimum experience in developing the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms
Normalization/Denormalization concepts
Metadata management and data governance
Strong Data Analysis and Physical Data Modelling experience
Deep expertise in data modelling and structuring, experience in high volume data environments
Good experience in schema designs and data warehousing ETL/ELT concepts
Understand and translate business needs into data models supporting long-term solutions
Good communication skills
Client management skills – Ability to independently work with the client and lead the project.

Good To Have

Any Data Modeler certification is an added advantage
Understanding of SAS Programming
Background in finance and banking domain
Strong in SQL and scripting knowledge
Exposure with GCP/AWS/Azure Cloud
Experience in Visual Paradigm/ Erwin ERD


Bengaluru / Mumbai / Gurgaon/ Pune/ Chennai

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