Data Engineer
Description For Data Engineer
2070 Health, India's pioneering healthcare venture studio, is seeking a Data Engineer to join their innovative team. This role offers an exciting opportunity to shape the future of healthcare in India through data-driven solutions.
As a Data Engineer, you'll be at the forefront of designing and implementing robust data infrastructure that powers patient-centric healthcare solutions. You'll work with cutting-edge technologies including Python, MySQL, AWS S3, and Amazon Redshift, while having the opportunity to explore advanced tools like dbt, Airbyte, and Apache Superset.
The role combines technical expertise with business impact, as you'll be responsible for building scalable ETL processes, managing databases, and creating insightful visualizations that drive decision-making. You'll work closely with cross-functional teams, including Product Managers and Analysts, ensuring that data infrastructure supports the company's mission to transform healthcare delivery.
This position is ideal for someone who is passionate about healthcare innovation and has a strong foundation in data engineering. You'll be part of a dynamic environment where you can contribute to meaningful healthcare solutions while growing your technical skills. The hybrid work model offers flexibility while maintaining collaborative opportunities with the team.
Join 2070 Health to be part of a mission-driven organization that's leveraging data to revolutionize healthcare in India. Your work will directly impact patient outcomes and healthcare delivery efficiency, making this an excellent opportunity for those who want to combine technical expertise with meaningful social impact.
Responsibilities For Data Engineer
- Design, develop, and maintain scalable ETL processes
- Build and maintain data transformation and automation workflows
- Optimize data storage and retrieval processes using MySQL and Amazon Redshift
- Manage and maintain MySQL and Redshift databases
- Develop stored procedures, views, and functions for business reporting
- Create reports and dashboards using Excel and Google Sheets
- Collaborate with stakeholders to understand data needs
- Document data architecture, pipelines, and processes
Requirements For Data Engineer
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- 2-4 years of experience as a Data Engineer or similar role
- Strong proficiency in Python, SQL and experience with MySQL and Amazon Redshift
- Experience building and maintaining ETL pipelines with tools like Airbyte
- Proficiency in data transformation using dbt
- Expertise in Excel and Google Sheets for data analysis and reporting
- Solid understanding of database design, data modeling, and query optimization
- Excellent problem-solving, communication, and documentation skills
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