Snowflake, Python

Job Description:

• 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 environment 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