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 (India)
🏢 Collinson
📍 India