Senior Lead Data Engineer

Overview

• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
• Designs data integrations and data quality framework.
• Designs and evaluates open source and vendor tools for data lineage.
• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Job Type: Full-time

Pay: From ₹2,000,000.00 per year

Benefits:

• Flexible schedule
• Health insurance
• Life insurance
• Paid time off

Schedule:

• Monday to Friday

Application Question(s):

• Work hours - overlap with PST?

Experience:

• AWS: 10 years (Required)
• Data Engineer: 10 years (Required)

Work Location: Remote