We're looking for a Data Engineer to join our team with at least 4 years of experience for a part-time project, with the possibility of transitioning to full-time.
We're looking for a Data Engineer to join our team with at least 4 years of experience for a part-time project, with the possibility of transitioning to full-time. This role will be crucial in acquiring, processing, and optimizing data while ensuring quality and accessibility across the company. If you're motivated by working with data in a dynamic and challenging environment, we'd love to have you on our team!
Responsibilities
Design, develop, and optimize data pipelines for efficient data acquisition, transformation, and storage.
Integrate data from various sources to facilitate analysis and reporting.
Ensure data quality and governance, maintaining availability and reliability.
Automate extraction, transformation, and loading (ETL) processes to enhance operational efficiency.
Collaborate with technical and non-technical teams to translate business needs into effective data solutions.
Document data flows, structures, and processes to ensure scalability and maintainability.
Implement solutions in cloud environments, optimizing performance and storage costs.Monitor and optimize databases and data warehouses for maximum efficiency.
Identify opportunities for improvement and propose new strategies based on data analysis.Requirements
Minimum of 4 years of experience in data engineering or similar roles.
Strong proficiency in SQL and Python, with experience handling and optimizing large data volumes.
Knowledge of cloud data architectures (AWS, GCP, or Azure).
Experience in ETL/ELT development and data modeling.
Familiarity with visualization tools such as Power BI, Looker, or Tableau.
Ability to work collaboratively and communicate with non-technical stakeholders.
Proactive mindset, analytical thinking, and problem-solving skills.
What we offer:
Part-time project with the potential to transition to full-time.
100% remote work, with access to co-working spaces.
Flexible payment methods.
The opportunity to write data-related articles and get compensated for them.
Referral program to help grow our team