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.