Data Platform Engineer
Indore
Posted 2d ago
Job Location
Indore
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
As a Data Platform Engineer, you will be instrumental in shaping the data platform's future by assisting with its blueprint and design, encompassing all relevant components. You will collaborate closely with Integration Architects and Data Architects to ensure seamless integration between various systems and data models. Your role involves refining and enhancing the overall data architecture, ensuring all components function harmoniously to meet organizational data needs and objectives throughout the data platform lifecycle.
Responsibilities
- Drive discussions with clients to understand business requirements and how data models fit into implementation and solutioning.
- Develop solution blueprints, scoping, and estimations for delivery projects.
- Lead discovery activities and design workshops, facilitating strategic road mapping and operating model design discussions.
- Design and develop Data Vault 2.0-compliant models, including Hubs, Links, and Satellites.
- Design and develop Raw Data Vault and Business Data Vault.
- Translate business requirements into conceptual, logical, and physical data models.
- Collaborate with source system analysts to understand data structures and lineage.
- Ensure adherence to data modeling standards and best practices.
- Work with ETL/ELT developers to implement data models in modern data warehouse environments.
- Document models, data definitions, and metadata.
Requirements
- Minimum 5 years of overall IT experience.
- Minimum 3 years of experience in Data Modeling.
- Minimum 2 years of experience in Data Vault Modeling.
- Strong understanding of Data Vault 2.0 methodology.
- Experience with dimensional modeling or 3-NF modeling.
- Hands-on experience with data modeling tools (e.g., ER/Studio, ERwin).
- Solid understanding of ETL/ELT processes, data integration, and warehousing concepts.
- Experience with modern cloud data platforms (e.g., Snowflake, Databricks, Azure Synapse, AWS Redshift, Google BigQuery).
- Excellent SQL skills.
- Strong requirement analysis and technical solutioning skills in Data and Analytics.
- Excellent writing, communication, and presentation skills.
- Eagerness to learn new skills and develop oneself.
- Good client-facing and interpersonal skills.
- B.E or B.Tech degree required.
- 15 years of full-time education.