Software Engineer II - Connector factory

We are seeking an experienced Data Engineer to join our Connector Factory team. This role offers an opportunity to be a key contributor in a critical feature delivery team, where your expertise will guide the evolution of our data pipeline infrastructure. Our team is responsible for the development and operation of data pipelines that handle diverse data sources through both large batch and streaming systems. You'll work extensively with AWS services and play a crucial role in driving the growth and innovation of our platform. 

You Will:

• Design and Develop Data Systems: Architect, build, and maintain data pipelines and ETL processes utilizing tools such as Databricks, Snowflake, SQL, and PySpark. 
• Enhance Data Quality: Play a pivotal role in creating and optimizing data assets to uphold high standards of data quality, performance, and reliability. 
• Manage Data Pipelines: Actively monitor and troubleshoot data pipelines to ensure efficient and uninterrupted data distribution. 
• Collaborate Across Teams: Partner with the Connector Factory team and cross-functional teams to understand client data requirements and transform these into scalable data solutions. 
• Implement Agile Practices: Apply Agile methodologies and best practices to drive incremental improvements and adapt to emerging requirements. 
• Communicate Effectively: Keep communication channels open with stakeholders to gather and clarify requirements and provide regular updates on project progress. 
• Ensure Data Security: Stay committed to data privacy, security, and regulatory compliance, particularly given the sensitive nature of healthcare data. 

What We'Re Looking For:

• Education: Bachelor’s degree in computer science, Engineering, or a related field. 
• Experience: 2-4 years of experience in data engineering, software engineering, or a related field. 
• Technical Skills: Proficiency in SQL, Python, and experience with big data tools such as PySpark or Spark. 
• Cloud Experience: Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) and building scalable, distributed systems. 
• Data Analysis: Experience in data analysis and modeling, with the ability to work with large datasets. 
• Problem-Solving: Strong analytical and problem-solving skills, with a proven ability to address complex data challenges. 
• Project Management: Experience managing technical projects and ensuring timely delivery. 
• Adaptability: Eagerness to learn new technologies and adapt to shifting project requirements. 
• Agile Methodologies: Understanding of Agile delivery frameworks and project management practices. Bonus Points: 
• Relevant certifications in data engineering, cloud computing, or specific technologies such as Databricks, Snowflake, or AWS.