Senior Snowflake Data Engineer

Senior Snowflake Data Engineer to design, build, and optimize scalable data solutions within complex enterprise environments. This is a hands-on engineering role focused on developing reliable data pipelines, improving Snowflake performance and cost efficiency, and modernizing existing data-processing workloads.

You will collaborate with data architects, analysts, DevOps engineers, and client stakeholders to deliver secure, maintainable, and high-performing data platforms. The ideal candidate combines strong Snowflake expertise with advanced SQL and Python skills and has experience delivering data solutions in cloud-based enterprise environments.

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines and transformation workflows within Snowflake.

• Build and optimize ELT/ETL processes using SQL, Python, Snowpark, dbt, and Snowflake-native capabilities.

• Modernize existing Python- and stored-procedure-based pipelines using set-based processing, incremental loading, and reusable engineering patterns.

• Implement Snowflake-native data-processing solutions using Dynamic Tables, Streams, Tasks, and stored procedures.

• Improve platform performance and cost efficiency through query tuning, warehouse right-sizing, clustering strategies, workload isolation, and auto-suspend and auto-resume policies.

• Develop reliable orchestration, dependency management, monitoring, error handling, retry, and recovery mechanisms.

• Design and maintain dimensional, relational, and domain-oriented data models.

• Implement data-quality checks, observability, testing, lineage, and documentation standards.

• Integrate data from batch and real-time sources using tools such as Fivetran, Kafka, Airflow, or similar technologies.

• Contribute to CI/CD pipelines, infrastructure-as-code practices, and automated deployment processes.

• Work closely with architects and client stakeholders to translate business and technical requirements into production-ready solutions.

• Participate in code reviews, technical design discussions, estimation, and Agile delivery activities.

Required Qualifications :

• 7+ years of experience in data engineering, including significant hands-on experience with Snowflake.

• Advanced SQL skills, including complex transformations, query optimization, and stored procedure development.

• Strong Python development experience for data processing, automation, and pipeline development.

• Hands-on experience with Snowpark and Snowflake-native capabilities such as Dynamic Tables, Streams, and Tasks.

• Proven experience designing and supporting scalable ELT/ETL pipelines in production environments.

• Strong understanding of Snowflake performance and cost optimization, including warehouse sizing, query profiling, clustering, and workload management.

• Experience with data modeling, incremental processing, pipeline orchestration, and dependency management.

• Experience with dbt or a comparable data transformation framework.

• Familiarity with at least one major cloud platform: AWS, Azure, or GCP.

• Experience with Git, CI/CD, automated testing, and modern software delivery practices.

• Strong troubleshooting, analytical, and problem-solving skills.

• Effective written and verbal communication skills, including the ability to collaborate directly with technical and business stakeholders.

Preferred Qualifications :

• Experience with Fivetran, Kafka, Airflow, or similar ingestion and orchestration tools.

• Familiarity with Terraform or another infrastructure-as-code platform.

• Experience with Snowflake Iceberg Tables or modern lakehouse architectures.

• Exposure to Snowflake Cortex, including Cortex Analyst, Cortex Search, or Cortex LLM functions.

• Experience supporting business continuity and disaster recovery strategies.

• SnowPro Core or SnowPro Advanced certification.