Senior Snowflake Data Engineer: AI‑Ready Data Platforms

BlueCloud Services, Inc.; United States; Remoto; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

BlueCloud Services, Inc. seeks a Senior Snowflake Data Engineer to design, build, and optimize scalable data platforms in enterprise environments.

You will craft reliable pipelines, improve Snowflake performance, and modernize processing workloads with emphasis on security and maintainability. The role requires strong Snowflake expertise, advanced SQL and Python skills, and collaboration with data architects, analysts, and client stakeholders to deliver production-ready solutions in a

Competenze

• 7+ years of data engineering experience with Snowflake.
• Advanced SQL skills with complex transformations and stored procedures.
• Strong Python development 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.

Mansioni

• 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.

Conoscenze

Advanced SQL

Python

Snowflake

Snowpark

Dynamic Tables

Streams

Tasks

ELT/ETL Pipelines

dbt

Cloud platforms

Git CI/CD

Communication

Strumenti

Fivetran

Kafka

Airflow

Terraform

Descrizione del lavoro

BlueCloud Services, Inc. seeks a Senior Snowflake Data Engineer to design, build, and optimize scalable data platforms in enterprise environments.

You will craft reliable pipelines, improve Snowflake performance, and modernize processing workloads with emphasis on security and maintainability. The role requires strong Snowflake expertise, advanced SQL and Python skills, and collaboration with data architects, analysts, and client stakeholders to deliver production-ready solutions in a