Data Engineer

Job Description

This role is for engineers who:

• Own data pipelines end-to-end
• Care deeply about data correctness
• Can debug real production issues, not just monitor systems

You’ll work on high-scale, event-driven pipelines and ensure data is reliable, accurate, and trusted across the business.

Responsibilities

• Own and operate data pipelines (ingestion → transformation → serving)
• Debug and resolve data issues in production (latency, inconsistencies, failures)
• Build scalable pipelines using Spark, Airflow, DBT, Kafka/CDC
• Ensure data quality and reliability across systems
• Work closely with product and analytics teams to ensure correct business metrics
• Improve automation, monitoring, and observability of data systems

Ideal Profile

• You have atleast 4 years’ experience in data engineering / data platform roles
• Strong hands-on experience with SQL (advanced), Spark / PySpark and Airflow (or similar)
• Experience building and debugging production-grade data pipelines
• Strong understanding of Data modeling, ETL/ELT systems and Data quality challenges
• Ownership mindset, someone who fixes problems end-to-end

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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