Description

You will design and maintain large-scale data architectures and automated pipelines to ingest, transform, and serve data.

This role is on-site.

Responsibilities

• Build, debug, and maintain automated data pipelines for ingesting data from various sources.
• Design and implement large-scale data architectures, including data lakes and warehouses.
• Perform ETL/ELT operations to transform and clean data, ensuring quality and consistency.
• Monitor and tune databases, SQL/NoSQL systems, and cloud infrastructure for optimal performance.
• Collaborate with data scientists and analysts to meet data requirements while ensuring privacy and compliance.

Required Skills

• 10+ years of experience in data engineering or related fields.
• Strong proficiency in ETL/ELT processes and tools.
• Hands-on experience with Snowflake and data warehousing concepts.
• Expertise in SQL and database management.
• Experience working with data lakes and large-scale data architectures.
• Familiarity with data visualization tools such as Tableau.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience collaborating directly with data scientists to define data models.
• Knowledge of data privacy and compliance regulations.

Key Skills

Education

Bachelor's degree