Senior Data Modeller

Friday 27 February 2026 Hybrid Working The Data Engineer will collaborate with the Data Operations, Software Engineers, Data Scientists, and Business SMEs to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs.

• Exp : 7-14 years.
  Location : Hyderabad
  Role : Data Modeller.

• Proven expertise in delivering and supporting high-availability, high-performance systems.
• Have effective collaboration and communication skills, able to work and influence across functional boundaries.
• Experience in acting as a coach and/or mentor to other team members in adoption of new ways of working and/or development of their technical capabilities.
• Experience working effectively within teams to embed a culture of collaboration and ownership. Contributing to Communities of Practice where colleagues share knowledge, take initiative and deliver on commitment
• Experience with GCP, AWS or Azure
• Proficiency in SQL, NoSQL, and cloud platforms (e.g., GCP, BigQuery).
• Experience in Python
• Working experience with operational data stores, data warehouse, big data technologies and data lakes
• Experience working with relational and non-relational databases to build data solutions, such as SQL Server/Oracle, experience with relational and dimensional data structures, DB schema, data warehousing, star and snowflake schema, data normalizations
• Produce artefacts such as data dictionaries, ER diagrams, and metadata repositories
• Experience with CI/CD pipelines and related tools/frameworks
• Familiarity with Kafka, streaming applications, and software development principles.
• Strong analytical and problem-solving skills for data quality and integration issues.
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Awareness of industry standards and best practices in data modelling.
• It would be great if you had…

• Certification in GCP “Professional Data Engineer”
• Proficiency across the data lifecycle

• Design and implement data models to meet organisational needs.
• Develop conceptual, logical, and physical models for databases and data warehouses.
• Collaborate with business analysts and developers to align models with business goals.
• Establish and enforce data modelling standards and best practices.
• Conduct data profiling and quality assessments.
• Support data migration and integration between systems.
• Implement data validation rules and security measures.
• Strong knowledge of relational databases, data architecture, and modelling tools (e.g., ERwin, PowerDesigner).
• Familiarity with ETL processes, data governance, and metadata management