Teradata Developer

About Company :

They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

About Client:

Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.

Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.

Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

Job Title: Teradata Data modelers

Location: Mumbai

Experience: 5+ yrs

Job Type: Contract to hire(Min 1+ yr)

Notice Period: Immediate joiners

Job Description:

1. 5 -10 years of hands-on experience in data modeling, metadata management and related tools (Erwin or ER Studio or others)

2. Strong knowledge of data modeling principles, including conceptual, logical, and physical data models

3. Deep understanding of the Teradata FSLDM, including its structure, components, and best practices for implementation

4. Proficiency in Teradata database technologies, including SQL, utilities, and performance tuning

5. Expertise in creating and maintaining comprehensive documentation for data models, mappings, and data governance policies

5. Strong SQL skills for data manipulation, query optimization, and data validation

6. Understanding of data warehousing concepts, medallion architecture and best practices

7. Strong analytical and problem-solving skills to identify and resolve data-related issues.

8. Understanding of metadata management principles.

9. Knowledge of the insurance domain and its data structures (preferred).