Crisil Integral IQ delivers solutions and analytics to top financial institutions, driving strategic transformation, risk optimization, and operational excellence. Our offerings across research, risk, lending, analytics and operations have empowered clients to navigate complex markets, mitigate risks, and unlock new opportunities. Our domain expertise, innovative solutions, and future-ready technologies such as AI and data science give clients the confidence to accelerate growth and achieve sustainable competitive advantage. Our globally diverse workforce operates in the Americas, Asia-Pacific, Europe, Australia and the Middle East.
We are seeking an experiencedSenior Snowflake Developer to join our Data & Analytics team and play a key role in building and enhancing enterprise data platforms within a Financial Services environment.
The successful candidate will be responsible for designing, developing, and optimizing scalable cloud-based data solutions that support criticalRisk, Finance, Treasury, Regulatory, and Management Reporting capabilities. This role combines hands-on technical delivery with solution design, data architecture, and stakeholder engagement, requiring an individual who can translate complex business requirements into robust, enterprise-grade data solutions.
Main responsibilities:
Data Engineering & Solution Delivery
- Design, build, and maintain scalable data solutions on the Snowflake platform.
- Develop and optimize ELT/ETL pipelines to support enterprise reporting, analytics, and regulatory requirements.
- Design and implement dimensional, analytical, and operational data models.
- Develop and maintain reusable transformation frameworks using dbt.
- Build Python-based data processing, automation, and integration solutions.
- Develop data ingestion processes from multiple internal and external source systems.
- Support cloud migration and data platform modernization initiatives.
- Contribute to solution architecture, engineering standards, and platform design decisions.
Performance, Quality & Governance
- Optimize Snowflake databases, workloads, and SQL queries to improve performance, scalability, and cost efficiency.
- Implement data quality controls, reconciliation processes, and monitoring frameworks.
- Troubleshoot complex production, performance, and data integrity issues.
- Ensure solutions adhere to enterprise security, governance, and regulatory standards.
- Support code reviews, testing, release management, and CI/CD delivery practices.
- Maintain technical documentation and promote engineering best practices across the data platform.
Stakeholder Engagement
- Partner with business stakeholders to gather requirements and translate them into scalable technical solutions.
- Lead workshops, discovery sessions, and solution design discussions.
- Collaborate effectively with business users, data architects, developers, and project teams.
- Communicate complex technical concepts to both technical and non-technical audiences.
- Provide technical leadership and guidance throughout project delivery.
Skills required:
- 7+ years of experience in Data Engineering, Data Warehousing, or Analytics Platform Development.
- 3+ years of hands-on Snowflake development experience within large-scale enterprise environments.
- Strong expertise in Snowflake architecture, performance optimization, security, and data modelling.
- Advanced SQL development and database optimization skills.
- Strong experience with dbt for data transformation, testing, deployment, and modelling.
- Advanced Python programming skills for data engineering and automation.
- Proven experience designing and implementing enterprise-scale ETL/ELT solutions.
- Strong understanding of - Data Warehousing principles, Dimensional Modelling and Star Schema design, Data Architecture and Data Governance, Data Quality and Performance Optimization
- Experience with Git-based source control and CI/CD deployment practices.
- Proven experience within Banking or Financial Services organizations.
Desired skills:
- Control-M, AutoSys, or equivalent workload scheduling tools.
- Microsoft BI technologies including SSIS, SSRS, and SSAS.
- Power BI and enterprise reporting platforms.
- Azure Data Services, Azure Data Factory, or similar cloud data technologies.
- Experience delivering cloud migration and data modernization programs.
- Knowledge of real-time or near real-time data processing architectures.
- Exposure to Artificial Intelligence, Generative AI, or Machine Learning solutions.
What we offer:
- Stable Employment in an International Company: Be part of a globally recognized organization that values stability and growth.
- Secure Employment Contract: Enjoy the peace of mind that comes with a solid employment contract.
- Comprehensive Benefits Package.
- Flexible Hybrid Work Model: Experience the best of both worlds with our hybrid work model, allowing you to work from the office just 3 times a week and enjoy the flexibility of remote work the rest of the time.
- Employee Referral Program: Help us grow our team and get rewarded through our Employee Referral Program.
- Education Reimbursement Policy: Invest in your future with our education reimbursement policy, supporting your continuous learning and professional development.
- Career Development Opportunities: Explore numerous internal and external opportunities to advance your career within the Finance Domain. We are committed to your growth and success.
Crisil Integral IQ delivers solutions and analytics to top financial institutions, driving strategic transformation, risk optimization, and operational excellence. Our offerings ac...