Thank you for considering the Python | SQL| Databricks Developer position at Reveal HealthTech. We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions.
ABOUT THE ROLE
We are looking for a skilled developer to join our growing data team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks platform to support advanced analytics and machine learning initiatives. The ideal candidate brings hands-on experience with PySpark, SQL, and data transformation workflows, and thrives in a fast-paced, collaborative environment.
Find out more about our mission and why we started Reveal HealthTech on our website.
Requirements
Responsibilities
- Design and implement scalable, high-performance data pipelines using Databricks and Apache Spark.
- Build and maintain ETL workflows using Databricks notebooks and integrate data from diverse sources.
- Develop efficient code in Python and PySpark for data processing and transformation.
- Write advanced SQL queries to manipulate, analyze, and validate data.
- Optimize data workflows for performance and cost-efficiency.
- Collaborate with data scientists, software engineers, and stakeholders to translate business needs into technical solutions.
- Implement data quality checks and validation frameworks to ensure data accuracy and reliability.
- Monitor and troubleshoot pipeline performance and data issues.
- Maintain clear technical documentation of workflows, codebases, and architecture.
- Stay current with industry trends and best practices in big data, Databricks, and cloud data platforms.
Key Skills and Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- 4–5 years of experience as a Data Engineer or in a similar role.
- Strong hands-on experience with Databricks and Apache Spark.
- Proficiency in PySpark and Python for data engineering workflows.
- Solid understanding of data lake, ETL design patterns, and distributed data processing.
- Experience with SQL for data querying and transformation.
- Familiarity with version control systems like Git and participation in code reviews.
- Understanding of cloud platforms such as AWS, Azure, or GCP (AWS preferred).
- Experience in building and optimizing data pipelines that feed machine learning models and analytics.
- Ability to work independently and collaboratively with cross-functional teams.
- Strong analytical and debugging skills.
Preferred Skills:
- Experience with Delta Lake and structured streaming in Databricks.
- Exposure to MLflow, Feature Store, or other Databricks-native tools.
- Familiarity with orchestration tools such as Airflow or Azure Data Factory.
- Understanding of data governance and compliance standards.
- Exposure to healthcare data, FHIR standards, or similar is a plus.
How you will enrich us?
- Energetic and enthusiastic
- Autonomous and self-motivated
- Growth mindset
- Embraces challenges
- Building new things gets your blood pumping!
- Curiosity and deep interest in the world
- Challenges the status quo constructively
Benefits
What do you get in return?
- Be part of a growing/amazing team - A great opportunity to be part of 0-1 of a new age technology services & product engineering company in a risk-adjusted environment with high upside for initial members.
- Trust over control - We believe in strong business fundamentals and possess vision for scale from day 1. Truly, people are our greatest winners and we want to make sure your full potential is met in the job.
- Numerous on-the-job-and-beyond learning opportunities - We already have a curated list of courses you can dive right in!
- Industry best compensation and benefits
Next Steps
- Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great!
- If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can align mutually.