Remote Data Engineer

Description:

• Develop and maintain an efficient data pipeline architecture to support business requirements.
• Construct complex data sets aligning with functional and non-functional needs.
• Identify and implement process enhancements, such as automation and infrastructure redesign for scalability.
• Establish infrastructure for data extraction, transformation, and loading using SQL and AWS technologies.
• Design analytics tools for actionable insights into customer acquisition and operational efficiency.
• Collaborate with stakeholders to address technical challenges and fulfill data infrastructure needs.
• Maintain data security across multiple data centers and AWS regions.
• Develop data tools for analytics and data science teams to optimize product positioning.
• Collaborate with experts to enhance functionality within data systems.
• Communicate with clients to understand task requirements.
• Create infrastructure for big data access and analysis.
• Refine frameworks to improve functionality.
• Test and validate structures to ensure suitability.
• Prepare raw data for data scientists and rectify errors.
• Ensure data remains backed up and accessible.
• Stay updated on industry standards and technological advancements.

Requirements:

• Bachelor's degree in data engineering, big data analytics, computer engineering, or related field.
• 5 years of experience as a data engineer, software developer, or similar role.
• Proficiency in Python, C++, Java, R, and SQL.
• Familiarity with Hadoop or equivalent technologies.
• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively.
• Detail-oriented and conscientious approach.
• Capacity to manage responsibilities with minimal supervision.

Benefits:

• Opportunity to work remotely.
• Chance to work on cutting-edge data projects.
• Collaborate with a diverse team of stakeholders.
• Continuous learning and growth opportunities.
• Competitive salary and benefits package.