Snowflake Data Engineer Lead

Job Description

We are seeking a highly skilled Snowflake Data Engineering Lead to join our Data Engineering practice. In this role, you will lead the design, implementation, and optimization of Snowflake-based data solutions, ensuring scalable, high-performance, and secure data infrastructure.
You will collaborate with cross-functional teams to develop robust ETL pipelines, enhance data governance, and drive best practices in cloud data engineering.

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Requirements:

• 6+ years of experience in data engineering;

• 2+ years of experience in Snowflake architecture, data modeling, and ETL;

• Proficiency in Python and SQL, with expertise in query optimization;

• Experience with workflow management tools (Apache Airflow, Argo, Oozie);

• Familiarity with cloud platforms (AWS, Azure, GCP);

• Hands-on experience with CI/CD pipelines and DevOps practices for data engineering;

• Solid understanding of data warehousing, data lakes, and MPP data platforms;

• Snowflake SnowPro Certification (preferred).

Nice to Have:

• Experience with AI/ML solutions;

• Knowledge of DBT framework for data transformation;

• Familiarity with integration tools (MuleSoft, Boomi, SnapLogic).

Responsibilities:

• Design and implement scalable Snowflake data models for data ingestion and analytics;

• Develop and maintain ETL pipelines, ensuring data consistency and integrity;

• Optimize Snowflake configurations, including query tuning and partition management;

• Implement data security measures, role-based access control (RBAC), and data masking;

• Automate data processing and pipeline monitoring;

• Lead data migration initiatives from other data solutions to Snowflake;

• Collaborate with teams to solve complex data challenges and troubleshoot issues;

• Promote CI/CD best practices and DevOps methodologies in data engineering.

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What We Offer:

• USD monthly payment;  

• 100% remote opportunity;  

• 10 business days of paid vacation per year (can be taken after 6 months);  

• Up to 10 national holidays (either US or country of residence);  

• 5 personal days off (can be taken after 3 months);  

• Travel expenses are covered when applicable;  

• Referral program;  

• Paid certification program;  

• Personal development plan (PDP).

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