Description

Job Description 

• Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources.
• Develop data ingestion and extract-load processes using Informatica, aligning with enterprise standards and existing in-house capabilities.
• Build transformation logic using dbt, including modular models, testing, documentation, and deployment workflows.
• Design and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform.
• Work with AWS-based data services and infrastructure, supporting applications and data products running in the organization’s AWS environment.
• Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns.
• Use Snowflake Catalog and Snowflake Horizon to support metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing.
• Collaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products.
• Work with domain experts to understand business concepts, entities, relationships, and terminology.
• Support ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings.
• Translate business and domain concepts into logical data models, physical data models, and reusable data products.
• Implement data quality checks, validation rules, lineage, observability, and governance controls.
• Support data products and applications such as news intelligence, asset intelligence, analytics, and AI-enabled use cases.
• Ensure data solutions meet enterprise requirements for security, privacy, access control, performance, and reliability

Key Skills

Education

Any Graduate