Junior Data Engineer

About us

At Theranica we are at the forefront of developing innovative, wearable treatments for migraine and other pain conditions, merging cutting-edge technology with patient-centered care.  Our goal is to translate our technological and business knowledge in mobile digital solutions to the field of pain therapeutics.

We offer non-invasive, drug-free, personalized and affordable wearable therapeutic products for the treatment of pain by integrating the latest neuroscience research with notable technological expertise.

Our collaborative and dynamic work environment fosters creativity and growth, encouraging our team to push the boundaries of medical science. By joining us, you'll be part of a passionate group dedicated to improving lives through pioneering health solutions.

1.     Job Brief

We are looking for a motivated and detail-oriented Junior Data Engineer to join our expanding data team. The perfect candidate will have a passion for data, a solid technical background, and a desire to learn and advance in the field. As a Junior Data Engineer, your responsibilities will include supporting the development, implementation, and maintenance of our data infrastructure and pipelines.

 2. Roles and Responsibilities

- Assist in designing, developing, and maintaining data pipelines to ensure reliable and efficient data flow. 

- Work with senior data engineers to implement data integration solutions using ETL/ELT processes. 

- Support the development and maintenance of data warehouses and data lakes. 

- Collaborate with data analysts and data scientists to understand data requirements and deliver high-quality data solutions. 

- Monitor and troubleshoot data pipelines to ensure data accuracy, completeness, and timeliness. 

- Write and optimize SQL queries for data extraction, transformation, and loading. 

- Participate in code reviews, testing, and documentation to maintain high standards of data engineering practices. 

- Stay current with emerging trends and technologies in data engineering and data management. 

3.     Qualifications & Requirements

3.1 Must Have

- Bachelor’s degree in computer science, Information Technology, Engineering, or a related field (Students in their 4^th year will also be taken into consideration).

- Advanced knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).

- Python programming skills.

- Familiarity with data integration tools and ETL/ELT processes.

- Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).

- Strong problem-solving skills and attention to detail.

- Excellent communication and teamwork abilities.

- Eagerness to learn and adapt to new technologies and methodologies.

3.2 Nice to Have

- Internship or academic project experience in data engineering or related fields.

- Familiarity with version control systems (e.g., Git).

- Understanding of data modeling and data warehousing concepts.

- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.