- Join a high impact data engineering team where you ll lead the design and delivery of modern cloud data solutions using Snowflake and Python
- In this role you ll shape scalable data pipelines enable trusted analytics and help teams turn raw data into meaningful business ready insights
- You ll collaborate closely with data analysts data scientists and platform teams to build reliable well governed datasets and streamline transformation workflows
- If you enjoy solving complex data challenges setting engineering standards and mentoring others while staying hands on with development this is a great opportunity to grow your technical leadership and influence
- You ll work in a collaborative environment that values clean architecture automation and continuous improvement where your ideas can directly improve performance quality and speed of delivery
Key Responsibilities:
- Key Responsibilities
- Data Platform Solution Delivery
- Lead the design and implementation of Snowflake based data warehouse lakehouse solutions aligned to business needs
- Build and optimize ELT ETL pipelines using Python and dbt to deliver curated analytics ready datasets
- Develop and maintain Snowflake objects schemas tables views stages and implement productive data modeling patterns
- Drive performance tuning across Snowflake warehouse sizing clustering query optimization and transformation layers
- Engineering Excellence Reliability
- Establish coding standards reusable frameworks and best practices for Python and dbt development
- Implement data quality checks automated testing and monitoring to ensure reliable and accurate data delivery
- Ensure secure data access patterns and support governance practices such as role based access and auditing
- Leadership Collaboration
- Mentor engineers conduct code reviews and guide the team on design decisions and implementation approaches
- Partner with stakeholders to translate requirements into technical designs delivery plans and measurable outcomes
- Support release planning incident triage and continuous improvements to reduce operational overhead
- Minimum Qualifications
- BTECH MTECH MCA MSC or equivalent in Computer Science Engineering or a related field
- 6 8 years of overall experience in data engineering data platform development
- 6 years of hands on experience with Snowflake including data modeling performance tuning and administration fundamentals
- 6 years of hands on experience with Python for building data pipelines automation and integrations
- Strong SQL skills and experience building reliable maintainable transformations and datasets
- Proven experience delivering production grade data solutions with attention to scalability reliability and maintainability
Technical Requirements:
- Technology Data on Cloud DataStore Snowflake
- Technology Python
Additional Responsibilities:
- Preferred Qualifications
- Strong hands on experience with dbt models macros tests documentation and deployment practices
- Experience designing modular transformation layers staging intermediate marts and implementing robust data quality frameworks
- Familiarity with orchestration and scheduling patterns for pipelines and transformations
- Experience with CI CD practices for data engineering version control workflows automated testing and release management
- Demonstrated ability to lead technical discussions influence architecture decisions and mentor team members effectively
Preferred Skills:
Technology->Data on Cloud-DataStore->Snowflake,Technology->OpenSystem->Python - OpenSystem->Python