Senior Quality Engineer

Job Title Engineer

• Work Location:

  Pune, Hyderabad, Chennai, Bangalore, Delhi

• Skills Required:

  Data Modeler / Data Architect, Digital : Google Data Engineering

• Experience Range in Required Skills

  : 7+ Years

We are looking for a Data Modeler / Data Architect with strong experience in data modeling concepts, Data Vault methodology, and hands-on expertise in ER Studio to design and optimize data structures that power our next-generation banking platform.

Key Responsibilities

• Design and implement conceptual, logical, and physical data models for operational systems and analytical platforms.
• Develop dimensional models for data warehouses and BI solutions, ensuring alignment with Kimball and Inmon methodologies.
• Apply Data Vault modeling techniques for scalable, auditable, and flexible enterprise data architecture.
• Collaborate with business and technology teams to translate requirements into robust data models.
• Ensure data governance, integrity, and compliance across all data assets.
• Optimize data models for performance, scalability, and maintainability.
• Work closely with ETL developers and DBAs to ensure seamless integration and efficient data flows.

Mandatory Skills

• Strong proficiency in data modeling tools and techniques, including ER modeling and dimensional modeling.
• Hands-on experience with ER Studio for enterprise data modeling.
• Expertise in Data Vault methodology and its implementation in large-scale environments.
• Solid understanding of DBMS technologies (SQL, NoSQL) and their strengths/limitations.
• Knowledge of data integration, data governance principles, and best practices.
• Strong analytical and problem-solving skills to identify modeling requirements and constraints.

Good to Have

• Deep understanding of banking or financial services domain, GCP, Google Data Engineering
• Awareness of industry standards and best practices in data architecture.
• Ability to address data quality, integration, and performance optimization challenges.
• Excellent communication skills to articulate technical concepts to non-technical stakeholders.

Skills:

GCP, Big Query, Dataflow, Python, Pandas and NumphyER Studio and core Data Modelling experience, strong analytical skills.ETL TestingData Migration testing, Data Pipeline awareness, SQL, PythonBasic Scripting