Senior Snowflake Data Engineer

Overview Location: Noida Experience: 7+ Years About the Role: We are looking for an experienced Senior Snowflake Data Engineer to design, develop, and optimize scalable data solutions within enterprise environments. The role is hands-on and focuses on building reliable data pipelines, modernizing data workloads, and improving Snowflake performance and cost efficiency . The ideal candidate will have strong expertise in Snowflake, advanced SQL, Python, Snowpark, and modern data engineering practices , along with experience working in cloud-based enterprise environments. Responsibilities Key Responsibilities: Design, develop, and maintain scalable data pipelines and ELT/ETL workflows within Snowflake. Build data solutions using SQL, Python, Snowpark, dbt , and Snowflake-native capabilities. Modernize existing pipelines using set-based processing, incremental loading, and reusable engineering patterns . Develop solutions using Dynamic Tables, Streams, Tasks, and stored procedures . Optimize Snowflake performance and costs through query tuning, warehouse sizing, clustering, workload management, and auto-suspend/resume. Develop orchestration, dependency management, monitoring, error handling, and recovery mechanisms. Design and maintain dimensional, relational, and domain-oriented data models. Implement data-quality checks, testing, observability, lineage, and documentation. Integrate batch and real-time data using tools such as Fivetran, Kafka, Airflow , or similar technologies. Collaborate with architects, DevOps teams, analysts, and stakeholders to deliver production-ready solutions. Participate in code reviews, technical design discussions, estimation, and Agile delivery. Qualifications Required Qualifications: 7+ years of experience in Data Engineering , including significant hands-on Snowflake experience. Advanced SQL skills, including complex transformations, query optimization, and stored procedures. Strong Python development experience for data processing and automation. Hands-on experience with Snowpark, Dynamic Tables, Streams, and Tasks . Proven experience building and supporting production-grade ELT/ETL pipelines . Strong understanding of Snowflake performance and cost optimization. Experience with data modeling, incremental processing, orchestration, and dependency management . Experience with dbt or a comparable data transformation framework. Experience with at least one major cloud platform: AWS, Azure, or GCP . Experience with Git, CI/CD, automated testing , and modern software development practices. Strong analytical, troubleshooting, communication, and problem-solving skills. Preferred Qualifications: Experience with Fivetran, Kafka, Airflow , or similar tools. Familiarity with Terraform or Infrastructure-as-Code. Experience with Snowflake Iceberg Tables or modern lakehouse architectures. Exposure to Snowflake Cortex , including Cortex Analyst, Cortex Search, or Cortex LLM functions. Experience with business continuity and disaster recovery strategies. SnowPro Core or SnowPro Advanced certification . If you are passionate about building scalable, high-performance data platforms and have strong Snowflake expertise, we encourage you to apply. #ibexphtalentmobility Work Location: Hybrid remote in Noida, Uttar Pradesh