Join Our Team as a Data Engineer - Part Time
Are you passionate about data and excited to unlock the vast possibilities of Data Engineering?
About the Role
As a Data Engineer, you will collaborate closely with Data Scientists, AL/ML engineers, Software Developers, and our clients. You will be responsible for designing, developing, and deploying ETL pipelines, automation, and enhanced analytics.
We are seeking highly motivated and talented individuals with 1+ years of experience in Data Engineering for a part-time, project-based consulting role. This is the perfect opportunity if you are looking for a challenging and rewarding environment that fosters creative, out-of-the-box thinking.
Qualifications and Requirements
Education:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Information Technology,Electrical/Electronic Engineering, or a related field. Electronic Eng
Experience:
- 1+ years in the Data Engineering.
Key Skills:
- Experience in data engineering with a focus on Azure/AWS cloud technologies.
- Experience in Data Engineering, Data Modelling, and ETL processes.
- Experience in Azure Functions.
- Knowledge of Data Warehousing and Data Analytics best practices.
- Hands-on experience with Azure data engineering tools and technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.
- Understanding of data management principles and best practices.
- Strong problem-solving and analytical skills.
- Ability to work collaboratively in a team environment.
- Excellent interpersonal and communication skills in English.
What We Offer
- A dynamic work environment that fosters growth and innovation.
- Exposure to advanced technologies and methodologies.
- Attractive compensation based on your contribution to the project.
We want to hear from you if you have a strong work ethic, thrive under pressure, and are eager to grow in a challenging yet supportive culture!
How to Apply
Submit your resume, including contact details of two non-related referees, to jobs@algoritit.com
