Software Engineer I

Software Engineer I will be vital in the development and maintenance of our data pipelines and workflows. Collaborating closely with senior engineers and reporting to the Connector Factory Team Lead, you will ensure our data solutions remain robust, scalable, and aligned with client requirements. This position provides a fantastic opportunity to enhance your skills and grow in a nurturing and innovative setting. Your efforts will directly contribute to delivering superior data solutions that improve healthcare outcomes.

You Will:

1. Design and Develop Data Pipelines: Create, develop, and maintain data pipelines and ETL processes using tools such as Databricks, Snowflake, SQL, and PySpark.

2. Optimize Data Assets: Contribute to the creation and optimization of data assets, ensuring high standards of data quality, performance, and reliability.

3. Monitor and Troubleshoot: Aid in the monitoring and troubleshooting of data pipelines to guarantee efficient and uninterrupted data distribution.

4. Team Collaboration: Work with Connector Factory team and cross-functional teams to understand client data requirements and convert them into scalable data solutions.

5. Apply Agile Methodologies: Implement Agile methodologies and best practices to achieve incremental improvements and adapt to evolving requirements.

6. Effective Communication: Maintain transparent communication with stakeholders to gather and clarify requirements, and to provide regular project updates.

7. Ensure Data Privacy and Compliance: Maintain a commitment to data privacy, security, and regulatory compliance, given the sensitive nature of healthcare data.

What We’re Looking For:

1. Educational Background: Bachelor’s degree in computer science or a related field.

2. Relevant Experience: At least 1 year of experience in data engineering, software engineering, or a related role. Fresh graduates are also welcome to apply.

3. Technical Proficiency: Basic proficiency in SQL and Python; familiarity with data engineering tools is a plus

4. Problem-Solving Skills: Strong ability to efficiently tackle data engineering projects and resolve issues.

5. Willingness to Learn: Eagerness to learn new technologies, tools, and methodologies.

6. Basic Understanding of Data Concepts: Some understanding of databases, data structures, and data processing.

7. Agile Methodologies: Familiarity with Agile methodologies and project delivery practices.

8. Communication and Collaboration: Excellent communication skills, with the ability to collaborate effectively with team members and stakeholders.

Bonus Points:

· Relevant certifications in data engineering, cloud computing, or specific technologies such as Databricks, Snowflake, or AWS.