Recruiter for this role:

Britney Dias

Key Responsibilities
- Develop and maintain Snowflake-based data products and data models.
- Build and manage ELT pipelines using dbt and contemporary data engineering practices.
- Implement automated data quality checks, monitoring and observability across data pipelines.
- Deliver reliable, secure and well-governed datasets for analytics and operational use cases.
- Collaborate with Product Managers, Analysts and Business Stakeholders to understand data requirements and deliver fit-for-purpose solutions.
- Design solutions with scalability, maintainability, performance and cost optimisation in mind.
- Support real-time and near-real-time data integration patterns using Kafka and event-driven architectures.
- Develop reusable frameworks, standards and engineering best practices across the data platform.
- Implement CI/CD pipelines and automated deployment processes.
- Troubleshoot and resolve data quality, performance and reliability issues.
- Contribute to platform modernisation and continuous improvement initiatives.




- Work closely with Data Governance teams to ensure compliance with GDPR, security and data management standards.
- Participate in code reviews and promote engineering excellence across the team.
- Mentor junior engineers and contribute to knowledge sharing across the Data & Analytics community.
- Evaluate emerging technologies and recommend improvements to the platform and engineering practices.
- Support AI and advanced analytics initiatives through the delivery of trusted, high-quality data assets

Knowledge, skills and experience required

Mandatory Technical Skills

Data Engineering
- Advanced SQL
- Python
- Data Modelling (Dimensional Modelling, Kimball, Data Vault fundamentals)
- ELT/ETL design and development
- Data Warehousing concepts
- Data Lakehouse concepts
- Data Quality Engineering
- Snowflake
- dbt
- Git
- CI/CD pipelines
- Data Observability and Monitoring
- AWS fundamentals
- Infrastructure as Code

📌 Senior Data Engineer (Mumbai)
🏢 Collinson
📍 Mumbai