As a Senior Data Engineer, you will architect and develop scalable data solutions, ensuring high-performance data pipelines and cloud-native data architectures to support strategic business initiatives.
: Architect, design and build scalable ETL and ELT pipelines, Lead development of scalable data pipelines and ingestion frameworks, and Establish engineering standards and best practices.
Required Candidate profile: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field Must-have: ETL/ELT architecture, Scalable data platform development, Data modeling Experience: 5-8.
Suggested role: Senior Data Engineer
Suggested department: Engineering / Platform
Key details
Location: Not specified
Experience: 5-8 years
Openings: 2
Job type: Current project
Shift: General
CTC / Salary: Not specified
Qualification: Bachelor's degree in Computer Science,
Information Systems, Data Engineering, or a related field
Must-have skills:
- ETL/ELT architecture
- Scalable data platform development
- Data modeling
- Advanced SQL skills
- Cloud-based services and data tools
- Python for scripting and automation
Compulsory skills: ETL/ELT architecture, Scalable data platform development
Key responsibilities
- Architect, design and build scalable ETL and ELT pipelines
- Lead development of scalable data pipelines and ingestion frameworks
- Establish engineering standards and best practices
- Design and implement cloud-native data warehouse architectures
- Own foundational data modeling strategies
- Write and optimize complex SQL queriesRole & responsibilities