SeniorDataEngineer(Snowflake)

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. * Design, build, and maintain scalable ETL/ELT pipelines to ingest data from multiple source systems into Snowflake. * Develop and optimize Snowflake data warehouse structures, including databases, schemas, tables, views, and materialized views. * Implement data transformation logic using SQL, dbt, Python, or similar tools within Snowflake-centric architectures. * Manage and optimize Snowflake virtual warehouses for performance, concurrency, and cost efficiency. * Use Snowflake features such as stages, tasks, streams, time travel, zero-copy cloning, and secure data sharing where appropriate. * Load and process structured and semi-structured data, including JSON, Avro, and Parquet. * Monitor query performance, troubleshoot failures, and tune Snowflake workloads for reliability and scalability. * Implement data quality checks, validation frameworks, and monitoring for production pipelines. * Work closely with analysts, BI developers, architects, and business stakeholders to translate data requirements into technical solutions. * Apply best practices for data governance, security, role-based access control, and compliance within Snowflake. * Support CI/CD, automation, and deployment processes for data engineering workflows. * Maintain technical documentation for pipelines, models, Snowflake objects, and operational proc ## Qualifications * 5+ years of experience in data engineering, analytics engineering, or a similar role. * Hands-on experience with Snowflake in production environments.