Data Modeller

2 weeks ago

Bengaluru, India Fractal Analytics Full time

It's fun to work in a company where people truly BELIEVE in what they are doing
- We're committed to bringing passion and customer focus to the business._

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

Location
- Bengaluru / Mumbai / Gurgaon/ Pune/ Chennai

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

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