Data Engineer - Contract Role

Description

Thank you for considering the Data engineer position at Reveal Health Tech. 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 out for a talented ETL Developer/Data Engineer to join our growing team. As an ETL Developer/Data Engineer, you will play a crucial role in designing, implementing, and maintaining our infrastructure. You will work cross-functionally to automate processes, improve system reliability, and scale our platform. In this role, you will have the opportunity to leverage your technical expertise to help us accomplish our mission to partner with our clients and meet their needs in the most innovative way possible.

Find out more about our mission and why we started Reveal Health Tech on our website.

Requirements

Responsibilities

As a Data Engineer responsible for maintaining a data lake, your key responsibilities would include:

1. Design, develop, and maintain scalable ETL (Extract, Transform, Load) processes to integrate data from multiple sources into the data warehouse.
2. Build and optimize data pipelines to ensure the smooth flow of data from raw data to processed data.
3. Develop, maintain, and enhance data marts and other data storage solutions.
4. Collaborate with teams to define technical requirements and implement appropriate data storage and transformation techniques.
5. Maintain and manage data warehouses to support large-scale, efficient storage and retrieval of structured and unstructured data.
6. Implement data transformation processes to ensure accurate data preparation for analysis.
7. Work with BI tools to deliver data visualizations, dashboards, and reports.
8. Ensure data quality and consistency across all sources and pipelines.
9. Identify and resolve data discrepancies and optimize data flow for performance and scalability.
10. Stay up-to-date with new technologies, tools, and best practices in the data engineering field.

Key Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field. Equivalent work experience will be considered.
• 2-6 years of experience in data engineering, with a strong focus on ETL processes.
• Solid understanding of data architecture and best practices for handling large datasets.
• Languages – Python, PL/SQL
• Experience in Data Warehousing tools-Teradata / Redshift / Snowflake
• Strong knowledge of Data Modelling and Architecture
• Trained in usage of cloud platforms such as AWS and S3
• Hands-on experience with BI tools (e.g., Tableau, Power BI, Looker) for data visualization and reporting.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.

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.
• You would have two tasks - a computer-based reasoning test and a technical case study followed by a job-based interview in the next rounds.
• Finally, you would have a chat with our founder to understand more about us and see if this is the right next career move!