Description

You will lead data engineering initiatives focused on large-scale data migration and architecture design.

This role is on-site.

Responsibilities

• Lead the migration of data systems from SQL Server to AWS and Snowflake.
• Design and implement scalable data pipelines and architecture for analytics and ML models.
• Collaborate with data scientists and ML engineers on data workflow integration.
• Develop and maintain ETL processes and data transformation logic.
• Ensure data quality, integrity, and performance across platforms.

Required Skills

• 8+ years of experience in data engineering and architecture.
• Strong hands-on experience with Snowflake and AWS data services.
• Deep knowledge of data modeling and data architecture principles.
• Experience implementing data architectures supporting ML Ops and data science models.
• Proficiency in SQL and scripting languages for data manipulation.
• Experience with ETL processes.
• Familiarity with Data Engineering and Architecture concepts.
• Knowledge of Data Science and ML Ops principles.

Preferred Skills

• Experience with SQL Server to Snowflake migration projects.
• Exposure to Agile development and DevOps practices.

Key Skills

Education

Any Gradute