Convera

Financial Services

SeniorSoftwareEngineer

₹22–35L ~AI est. Pune, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer at Convera”

Industry & Context.

Financial Services
Problems you'll solve

Problem-solving skills; Analytical skills; Troubleshoot complex issues

How You'll Work.

Team & Collaboration

Data modelers; Data engineers; Analysts; Cross-functional teams; Stakeholders; Business leaders; IT leaders; Data scientists

Full Job Description

Senior Software Engineer- Data Architect at Convera Pune- WFH We are seeking an experienced Senior Software Engineer to oversee the development and utilization of data systems. You will be reporting to the Sr. Manager to join our dynamic team in the Foreign Exchange payments processing industry. The ideal candidate is responsible for defining and implementing the enterprise data architecture strategy and ensuring robust data governance across the organization. This role requires a deep understanding of business processes, technology, data management, and regulatory compliance. The successful candidate will work closely with business and IT leaders to ensure that the enterprise data architecture supports business goals, and that data governance policies and standards are adhered to across the organization. Your responsibilities will include working closely with data modelers, data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. It also includes building a new data platform, integrating data from various sources, and ensuring data availability for various application and reporting needs. Additionally, the candidate should have experience working with AI/ML technologies and collaborating with data scientists to meet their data requirements. You will be responsible for: Architect and Develop Data Architecture Solutions: Design and implement scalable and efficient data architecture solutions on enterprise data platform. Lead the end-to-end architecture, design and modeling using Snowflake, Tableau and AWS. Collaborate and Design Data Models: Partner with stakeholders and business units to understand data requirements and business goals. Lead the architecture and designing the data models, schemas, data mappings, data transformations and metadata that align with business needs, analytical requirements, and industry standards. Ability to analyz

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