Data Engineer - Mumbai - Onsite | Scrabble
full-time
Posted on September 1, 2025
Job Description
Unknown Role
Company Overview
Company details are not specified.
Job Summary
This position involves working within fundamental equity investment workflows, focusing on financial modeling and data management. The role contributes to the enhancement of investment analyses and workflow efficiency, ultimately supporting the organization's financial objectives.
Responsibilities
- Engage in fundamental equity investment workflows, providing analytical support through financial modeling.
- Utilize SQL and the Python data stack (including pandas, numpy, sklearn) to streamline data processes.
- Manage scheduling and execution platforms such as Airflow or Prefect to improve workflow efficiency.
- Ensure efficient query management in data platforms like Snowflake or DataBricks.
- Collaborate with teams in a secure workspace, maintaining high standards of data security.
Qualifications
- Educational Background: Bachelor’s or Master’s degree in Engineering, Finance, Accounting, Economics, or a related field.
- Experience: Previous experience in fundamental equity investment workflows, with exposure to financial modeling.
- Technical Skills:
- High proficiency in SQL and the Python data stack (pandas, numpy, sklearn).
- Experience with scheduling and execution platforms (e.g., Airflow, Prefect).
- Understanding of query management in Snowflake, DataBricks, or similar platforms.
- Optional Experience: Familiarity with automating workflows to produce Excel outputs (e.g., using openpyxl) and integrations with APIs (REST/gRPC/GraphQL).
Preferred Skills
- Familiarity with workflow automation and performance monitoring tools.
- Experience in data visualization and reporting tools would be advantageous.
Experience
Specific years of experience are not mentioned; however, prior experience in relevant fields is essential.
Environment
- Work Location: In-office, 5 days per week, located in Mumbai, India.
- Hours: The role follows India hours with a necessary overlap with U.S. hours (noon to late evening IST).
- Security: This role is performed in a dedicated, secure workspace.
- Travel: Annual travel to the U.S. for onsite collaboration is expected.
Salary
Salary details are not specified.
Growth Opportunities
Potential career advancement opportunities within the company are not specified.
Benefits
Benefits offered are not specified.