Senior Data Engineer - Global Team (India)

Overview

Senior Data Engineer for YipitData’s Data Engineering team, working remotely from India and supporting strategic data pipelines.

What you'll do

• Build and maintain end-to-end data pipelines.
• Set best practices for data modeling and pipeline builds.
• Create AI-ready analytical datasets with structure, metadata, documentation, and business context.
• Troubleshoot complex data pipeline issues using PySpark and SQL.
• Collaborate with stakeholders to incorporate business logic into central pipelines.
• Learn Databricks, Spark, AI, and internally developed ETL toolings.
• Report to a Manager of Data Engineering.

What you'll need

• 6+ years of data engineering experience.
• Solid understanding of Spark (including PySpark) and SQL.
• Experience building and running data pipelines.
• Comfort with large-scale datasets using PySpark, Delta, and Databricks.
• Ability to align data transformations with business needs and data strategy.
• Self-starter mindset with collaborative stakeholder work.
• Bachelor’s or Master’s degree in Computer Science, STEM, or related discipline.

Nice to have

• Experience with Airflow, dbt, Snowflake, or equivalent.

Details

• Location: India (Remote).
• During training/onboarding: several hours of overlap with US working hours.
• Afterward: IST working hours, with 1–2 days per week joining US team meetings.