Reveal HealthTech is hiring a
Data Engineer

Logo of Reveal HealthTech

Reveal HealthTech

πŸ’΅ ~$41k-$45k
πŸ“Remote - India

Summary

Join Reveal Health Tech as an ETL Developer/Data Engineer to design, implement, and maintain infrastructure, automate processes, improve system reliability, and scale our platform.

Requirements

  • 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

Responsibilities

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

Benefits

  • Be part of a growing/amazing team
  • Trust over control
  • Numerous on-the-job-and-beyond learning opportunities

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