zentech info solutions private limited
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Example:
We are looking for an experienced Data Architect to design, develop, and manage the organization's enterprise data architecture. The candidate will be responsible for building scalable data platforms, ensuring data quality and governance, and supporting business analytics through modern data solutions.
Experience Required
Mention the minimum years of experience.
Example:
- Minimum 12 years of experience in Data Architecture, Data Engineering, or related fields.
- 5+ years of experience in the Banking/Financial Services domain is preferred.
Educational Qualification
Mention the required degree.
Example:
- BE/BTech in Computer Science, Information Technology, Software Engineering, Electronics & Communication Engineering, or equivalent.
- OR MCA/MTech/MSc in Computer Science, IT, or related disciplines.
- MBA is preferred.
Technical Skills
List the skills the candidate must have.
Example:
- AWS, Azure, or GCP
- Data Warehousing (DWH)
- ETL/ELT
- Database Management
- Data Modeling
- Data Analytics
- Data Lakes
- Data Governance
Key Responsibilities
Convert the points you received into simple action statements.
Example:
- Design and maintain enterprise data architecture.
- Develop data warehouses and data lakes.
- Define data standards and governance policies.
- Ensure data quality and security.
- Design ETL/ELT processes.
- Integrate data from multiple systems.
- Plan and execute data migration projects.
- Review existing data architecture and recommend improvements.
- Provide technical guidance to project teams.
- Evaluate new data technologies and tools.
Preferred Skills
These are not mandatory but are an advantage.
Example:
- Banking domain experience
- Strong analytical and problem-solving skills
- Good communication skills
- Leadership and stakeholder management
- Experience mentoring technical teams
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Incubyte is an AI-first software development agency built on the principles of software craftsmanship—where how we build is just as important as what we build. We partner with organizations across stages, from enterprises looking to scale and modernize to early-stage founders bringing new ideas to life.
At Incubyte, AI is deeply integrated across the software development lifecycle to drive speed, efficiency, and smarter outcomes. Guided by Software Craftsmanship values and Extreme Programming practices, we combine high velocity with disciplined engineering to deliver reliable, high-impact solutions.
We don’t just build software—we incubate dedicated engineering teams. From designing systems to shaping team structures and organizational strategy, we enable our clients to launch and scale products that are relevant today and resilient for the future.
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