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We are seeking an experiencedSenior Data Engineerto design, build, and optimize scalable data platforms and pipelines that support analytics, reporting, and data-driven decision-making. The ideal candidate has deep expertise inSnowflake, moderndatabase technologies, and end-to-enddata engineeringpractices, with the ability to lead technical solutions and mentor junior engineers.
Key ResponsibilitiesDesign, develop, and maintain scalable, reliable data pipelines and architectures
Build and optimize data models and warehouses usingSnowflake
Implement ELT/ETL processes to ingest data from multiple structured and semi-structured sources
Ensure data quality, performance tuning, security, and governance across platforms
Collaborate with analytics, BI, and business teams to deliver trusted datasets
Lead technical design discussions and make architectural recommendations
Troubleshoot and resolve complex data issues across systems
Mentor junior and mid-level data engineers and promote engineering best practices
Document data pipelines, schemas, and workflows
8+ years of experiencein Data Engineering or related roles
Strong hands-on experience withSnowflake
Solid understanding ofdatabase technologies(SQL, relational databases, data warehousing concepts)
Expertise in data modeling (dimensional, normalized, and analytical models)
Experience building and maintaining ETL/ELT pipelines
Strong SQL skills and query performance optimization experience
Experience working in cloud environments (AWS, Azure, or GCP)
Ability to work independently and lead complex data initiatives
Job ID: 141458711