Description

You will design and maintain scalable data pipeline architectures to support complex business requirements.

Responsibilities

• Build and maintain infrastructure for ETL processes using SQL and AWS big data technologies.
• Design and implement process improvements, including automation and infrastructure redesign for scalability.
• Develop analytics tools to provide insights into customer acquisition and operational efficiency.
• Manage data security and separation across multiple data centers and AWS regions.
• Collaborate with Executive, Product, Data, and Design teams to resolve technical issues and support infrastructure needs.

Required Skills

• 10+ years of experience in data engineering.
• Advanced SQL knowledge and experience with relational databases and query authoring.
• Proven experience building and optimizing big data pipelines, architectures, and datasets.
• Expertise in manipulating and extracting value from large, disconnected, and unstructured datasets.
• Working knowledge of message queuing, stream processing, and scalable big data stores.
• Proficiency with AWS technologies.
• Experience performing root cause analysis on internal and external data processes.
• Ability to build processes for data transformation, metadata, dependency, and workload management.

Key Skills

Education

Any Graduate