Data Engineer - Remote

As a Data Engineer, you will play a key role in designing, building, and maintaining our data infrastructure. You will collaborate with cross-functional teams to ensure data availability, integrity, and usability across various business processes. The ideal candidate is passionate about building efficient data pipelines, optimizing database performance, and working with cloud-based technologies.

About The Role:

Location: Remote

Timings: US Shift, 6:30 PM - 3:30 AM IST

Requirements

Responsibilities:

• Data Pipeline Development:
• Design, build, and maintain robust ETL/ELT pipelines to integrate data from multiple sources, including APIs, databases, and third-party integrations like Elation (Snowflake), Apero, and Zoom.
• Optimize existing pipelines to improve performance and reliability.
• Database Management:
• Maintain and optimize PostgreSQL and Redis databases hosted on Aptible.
• Implement best practices for database indexing, partitioning, and performance tuning.
• Data Integration and Analytics:
• Work with third-party integrations such as Elation’s ODBC connection to Snowflake, ensuring accurate and efficient data extraction and transformation.
• Support analytics teams by ensuring timely and accurate delivery of data for dashboards and reporting.
• Cloud and Infrastructure Support:
• Leverage AWS services such as S3 and CloudFront for data storage and distribution.
• Collaborate with the DevOps team to ensure data infrastructure aligns with application hosting and deployment processes.
• Monitoring and Observability:
• Utilize tools such as Datadog, Sentry, and Sumologic for monitoring ETL jobs, database performance, and data pipeline health.
• Set up alerts and dashboards to proactively identify and resolve issues.
• Collaboration and Documentation:
• Work closely with development and operations teams to support new data-related requirements.
• Document data models, pipeline designs, and operational workflows to ensure knowledge sharing and system maintainability.

Qualifications:

• Technical Skills:
• 0-2 years of experience in a similar data profile.
• Strong experience with ETL/ELT pipelines, including tools like Apache Airflow, dbt, or similar.
• Proficiency in SQL and database optimization for Postgres and Redis.
• Hands-on experience with cloud platforms (AWS preferred) and services like S3 and CloudFront.
• Familiarity with ODBC adapters and APIs for integrating third-party systems.
• Programming:
• Expertise in for data manipulation and pipeline orchestration.
• Familiarity with Ruby is a plus but not required.
• Monitoring and Debugging:
• Experience with observability tools such as Datadog, Sentry, and Healthchecks.io.
• Strong debugging and troubleshooting skills for data pipelines and integrations.
• Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Eagerness to learn and adapt to new technologies.
• Prior experience in a customer facing role.

• Good to have skills:
• Experience working in a healthcare technology environment.
• Familiarity with Snowflake or similar modern data warehouse platforms.
• Knowledge of Docker and CI/CD pipelines (e.g., CircleCI).
• Support experience in previous roles.

Benefits

What do you get in return?

• Contribute to impactful projects at the forefront of healthcare and life sciences innovation. 
• Collaborate with industry-leading professionals and cutting-edge technologies. 
• Competitive compensation, benefits, and opportunities for professional growth. 
• Immediate start with high-visibility projects from day one. 

Timeline for Joining 

We are looking for candidates who can join at the earliest to ensure smooth onboarding experience. If you are passionate about driving innovation in life sciences and ready to make a difference, we encourage you to apply today!