
Data Architect
6 days ago
Data Architect, ETL, Data Engineer, Python, SQL
Description
GSPANN is hiring a Data Architect for their data platform. As we march ahead on a tremendous growth trajectory, we seek passionate and talented professionals to join our growing family.
Location: Gurugram / Hyderabad / Pune
Role Type: Full Time
Published On: 26 September 2024
Experience: 8+ Years
Role and Responsibilities
- Develop architectural strategies for data modeling, design, and implementation to meet requirements for metadata management, master data management, Data warehouses, ETL, and ELT.
- Analyze business requirements, design scalable and robust data models, document conceptual, logical, and physical data model design, assist developers in creating database structures, and support throughout the project lifecycle.
- Lead and mentor data engineers, focusing on skill growth and adoption of DevOps and DataOps principles.
- Investigate new technologies, data modeling methods, and information management systems to incorporate into data architectures, including developing implementation timelines and milestones.
- Identify and resolve conflicts between models, ensuring consistency with the ecosystem model (e.g., entity names, relationships, definitions).
- Participate in designing the information architecture, review models, glossary, data flows, and usage.
- Guide the team to achieve project goals and milestones.
- Work independently within broad guidelines and policies.
- Contribute as an expert to multiple delivery teams, define best practices, build reusable designs, and engage with wider data communities.
- Conduct data processing techniques such as data curation, representation, standardization, normalization, and other forms of data preparation for integration, analysis, and sharing.
Skills And Experience
- Graduate or Post-Graduate in Computer Science, Electronics, or Software Engineering.
- 6+ years of relevant experience in Data Modeling for data warehouses and analytics applications like OLAP or database technologies.
- Expertise in data modeling (conceptual, logical, physical), with experience in Enterprise Data Warehouses and Data Marts.
- Good understanding of cloud database technologies and services such as GCP, Redshift, Aurora, DynamoDB.
- Experience working with data governance, data quality, and data security teams.
- Experience handling large databases and data volumes.
- Comfortable working with heterogeneous datasets, building and optimizing data pipelines using ETL/ELT, CDC, message-oriented data movement, stream data integration, and virtualization.
- Strong experience in optimizing existing ETL processes and data integration flows, with a focus on moving to production.
- Hands-on experience with data discovery, analytics, and BI tools like MicroStrategy, Tableau, Power BI.
- Effective leadership and mentorship skills for team delivery.
- Excellent communication skills for conducting presentations across functions and levels.
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