Data Engineer

About

Description

The Data Engineer designs, builds, and maintains scalable and reliable data platforms that support data storage, processing, and retrieval in a cloud based environment. This role works hands on with large and complex datasets, developing data pipelines that move and transform data from source systems into cloud data warehouses and analytical platforms.

Responsibilities

• Design, build, and maintain robust data pipelines in cloud data platforms such as Snowflake or Databricks.
• Develop and optimize SQL‑based data transformations to deliver curated, analytics‑ready datasets.
• Ensure data pipelines are reliable, performant, and maintainable through effective error handling, monitoring, and logging.
• Build and maintain data solutions on the cloud, preferably AWS.
• Provision and manage data infrastructure using Infrastructure as Code tools such as CloudFormation or Terraform.
• Design and support business‑critical storage and compute environments following industry best practices.
• Manage complex technical issues related to data platforms and pipelines.
• Develop and enhance data applications and services by analyzing requirements and implementing effective solutions.

Qualifications

• Degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience in data engineering with a focus on complex data solutions.
• Proven experience building and supporting cloud‑based data architecture, preferably on AWS.
• Hands‑on experience with Infrastructure as Code tools such as CloudFormation or Terraform.
• Strong experience developing data pipelines in Snowflake, Databricks, or similar cloud data platforms.
• Strong SQL skills for data transformation, optimization, and analysis.

Application instructions:

• Apply Now!!