Data Engineering Position
We are seeking an experienced Data Engineer to join our team and contribute to the design, development, and implementation of cutting-edge data platforms.
The ideal candidate will have a strong background in software architecture and development, with expertise in SQL, Python, and cloud services (AWS, GCP, Azure).
Key Responsibilities:
* Collaborate with cross-functional teams to design and develop scalable data solutions.
* Ensure data security and compliance by maintaining architectural standards and managing data platform risks.
* Develop efficient data systems using SQL, Python, and cloud tools (AWS/GCP) to build and maintain robust data pipelines.
* Create scalable architectures that handle growth and complexity.
* Optimize performance by monitoring and improving platform speed, scalability, and reliability.
* Enforce data security best practices, assess risks, and maintain compliance documentation.
* Mentor and guide team members to promote continuous learning and excellence.
Requirements:
* Bachelor's or master's degree in computer science, software engineering, or a related field.
* 5 years experience in IT with a strong background in software architecture and development.
* Expertise in SQL, Python, and cloud services (AWS, GCP, Azure).
* Experience working with data warehousing solutions such as Redshift, BigQuery, or Snowflake is highly desirable.
* Strong analytical skills with meticulous attention to detail.
* Excellent written and verbal communication skills.
About Us:
We are a dynamic and innovative company that values collaboration and continuous learning. If you are passionate about building robust and scalable data solutions, we encourage you to apply for this exciting opportunity.
Please submit your CV and cover letter to be considered for this role.