- Join a team where data engineering meets real world impact
- In this role you ll lead the design and delivery of modern cloud data solutions using Snowflake and Python helping teams turn complex data into trusted actionable insights
- You ll work closely with stakeholders analysts and engineers to build scalable pipelines optimize performance and enable analytics ready datasets that power decision making across the organization
- If you enjoy solving challenging data problems mentoring engineers and setting technical direction while staying hands on this is a great opportunity to shape high quality data products and foster a collaborative delivery focused culture
Key Responsibilities:
- Key Responsibilities
- Lead end to end design and implementation of Snowflake based data warehouse lakehouse solutions aligned to business and analytics needs
- Architect and optimize data models dimensional normalized and hybrid to support reporting BI and advanced analytics use cases
- Develop and maintain Python based data processing components utilities and orchestration logic to enable scalable data workflows
- Build and optimize Snowflake objects including databases schemas tables views stages file formats tasks streams and stored procedures where applicable
- Drive performance tuning across Snowflake warehouse sizing clustering caching query optimization and Python workloads to meet SLAs
- Establish and enforce data engineering standards for code quality testing documentation and release management
- Implement secure data access patterns role based access control and governance practices to ensure compliance and auditability
- Collaborate with stakeholders to translate requirements into technical designs delivery plans and measurable outcomes
- Mentor team members through design reviews pair programming and technical guidance lead troubleshooting and root cause analysis for production issues
- Coordinate with cross functional teams to manage dependencies risks and delivery timelines for multiple concurrent initiatives
- Minimum Qualifications
- Bachelor s or Master s degree BTECH MTECH MCA MSC in Computer Science Engineering or a related field
- 8 12 years of overall experience with strong ownership in data engineering and platform delivery
- 8 years of hands on experience with Snowflake including data modeling performance optimization and production support
- 8 years of strong Python development experience for data engineering use cases data processing automation and integration
- Proven ability to lead technical design discussions perform code reviews and guide engineering best practices
- Strong SQL skills and experience building reliable maintainable data pipelines and datasets for analytics consumption
Technical Requirements:
- Technology Data on Cloud DataStore Snowflake
- Technology Python
Additional Responsibilities:
- Preferred Qualifications
- Experience leading architecture for enterprise scale Snowflake implementations including multi workplace setup and workload isolation strategies
- Strong experience with Python data engineering ecosystems e
- g
- Pandas PySpark and building reusable frameworks utilities
- Expertise in orchestration and scheduling patterns for data workflows including dependency management and monitoring
- Experience implementing data quality checks automated testing strategies and observability for pipelines and datasets
- Familiarity with CI CD practices for data platforms including version control automated deployments and environment promotion
- Strong stakeholder management skills with the ability to communicate trade offs influence decisions and align teams on technical direction
Preferred Skills:
Technology->Data on Cloud-DataStore->Snowflake,Technology->OpenSystem->Python - OpenSystem->Python