Analytics Engineer (Snowflake) - Remote Work

BairesDev; Cile; Remoto; CLP 88.322.000 - 127.576.000; Tempo pieno

Vantaggi offerti da questo lavoro

100% remote

USD compensation

Home office setup

Descrizione del lavoro

BairesDev is seeking an Analytics Engineer specializing in Snowflake to build and maintain high-performance data pipelines and models within the Snowflake ecosystem. You will connect raw data ingestion to actionable business intelligence, ensuring clean, reliable, and optimized data structures.

Design and implement pipelines, develop data models using SQL, and integrate Snowflake with Airflow and dbt to automate workflows.

Competenze

• 4+ years of experience in Data Engineering or Analytics Engineering.
• Proven expertise designing data pipelines in Snowflake.
• Advanced SQL skills for modeling and transformations.
• Experience with Snowpipe, Streams, and Tasks.
• Experience with Airflow and dbt.

Mansioni

• Design and optimize scalable Snowflake data pipelines.
• Develop data models and transformations with SQL.
• Integrate Snowflake with Airflow and dbt to automate workloads.
• Apply software engineering practices: version control, testing, documentation.
• Collaborate with data engineers and analysts to define schemas and metrics.
• Monitor Snowflake performance, security, and cost-efficiency.

Conoscenze

Snowflake

SQL

Airflow

dbt

English

Data modeling

Strumenti

Airflow

dbt

Descrizione del lavoro

At BairesDev, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Analytics Engineer (Snowflake) at BairesDev

As an Analytics Engineer specializing in Snowflake, you will build and maintain high-performance data pipelines and models within the Snowflake ecosystem. You will connect the dots between raw data ingestion and actionable business intelligence, ensuring that stakeholders have access to clean, reliable, and optimized data structures.

What You'll Do:

• Design, implement, and optimize scalable data pipelines specifically tailored for the Snowflake Data Cloud.


• Develop complex data models and transformations using advanced SQL and Snowflake-native features like Snowpipe, Streams, and Tasks.


• Integrate Snowflake seamlessly with orchestration and transformation tools such as Airflow and dbt to automate data workflows.


• Apply software engineering rigor to data transformation processes, including version control, testing, and comprehensive documentation.


• Collaborate with data engineers and analysts to define schemas, access patterns, and key business metrics.


• Monitor and fine-tune Snowflake environments to ensure peak performance, security, and cost-efficiency.

What we are looking for:

• 4+ years of experience in Data Engineering, Analytics Engineering, or a related field.


• Proven expertise in designing and optimizing data pipelines within the Snowflake ecosystem.


• Advanced proficiency in SQL for complex data modeling and transformation.


• Hands-on experience with Snowflake-native features like Snowpipe, Streams, and Tasks.


• Proficiency in integrating Snowflake with orchestration and transformation tools like Airflow and dbt.


• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).


• Excellent compensation in USD or your local currency if preferred.


• Hardware and software setup for you to work from home.


• Flexible hours: create your own schedule.


• Paid parental leaves, vacations, and holidays.


• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.


• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.