Senior Data Engineer, Snowflake

🕒 il y a 8 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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BlueCloud

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2004

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

BlueCloud est une entreprise technologique mondiale spécialisée dans la transformation des entreprises par le biais des données, de l'analytique et de l'IA générative. Ses services comprennent l'ingénierie des données, l'analytique, la conception de logiciels, le DevOps et la gouvernance des données, en s'appuyant sur une technologie d'IA révolutionnaire pour améliorer la prise de décision et l'efficacité. En tant que partenaire de croissance reconnu des services de données en cloud, BlueCloud propose des solutions cloud de bout en bout qui permettent aux organisations de maximiser leur potentiel de données et de soutenir la transformation numérique grâce à des équipes mondiales évolutives et performantes.

Description

• 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.

🎯 Exigences

• 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.