Description

Design and govern data management frameworks and engineering pipelines within AWS and Snowflake environments.

Responsibilities

• Architect data engineering pipelines for data acquisition, ingestion, processing, and publishing using AWS services.
• Develop and optimize database models for data lakes and data warehouses to support analytical use cases.
• Design DevOps and DataOps pipelines and resolve implementation issues.
• Create high-level design documents and architecture specifications for data pipelines.
• Manage data security, quality, and performance optimization across structured, semi-structured, and unstructured data sources.

Required Skills

• 5+ years of experience in data architecture or data engineering.
• Hands-on experience with AWS services.
• Proficiency in Snowflake.
• Experience designing pipelines for batch, streaming, API, message queues, and real-time sources.
• Expertise in Data Lake and Data Warehouse modeling.
• Strong understanding of Data Management, DataOps, and DevOps practices.
• Ability to handle structured, semi-structured, and unstructured data types.
• Experience in the Finance domain.
• Ability to translate strategic requirements into high-level technical designs.

Key Skills

Education

Any Graduate