Sr. Data Engineer- Databricks, Apache Spark

Role: Sr. Data Engineer

Work Model: Hybrid – 2 days onsite (9:00 AM – 5:00 PM)

Role Summary

Senior Data Engineer (Databricks-Focused)

In-Person Interview is Mandatory – Please dont share Virtual Interview Profiles.

We are seeking a Senior Data Engineer with deep expertise in building scalable Lakehouse solutions using Databricks. This role will lead the design of data architecture, develop high-performance pipelines, and own end-to-end data workflows while mentoring junior engineers.

Key Responsibilities

• Design and implement Lakehouse architectures using Delta Lake.
• Build and optimize batch and streaming pipelines using Apache Spark (PySpark/Scala).
• Own end-to-end data flows: ingestion → transformation → modeling → serving.
• Implement data quality, monitoring, and CI/CD best practices.
• Optimize cluster performance and cost efficiency within Databricks.
• Provide technical leadership, conduct code reviews, and mentor junior engineers.

Required Experience

• 8+ years in data engineering, with strong hands-on experience in Databricks.
• Advanced SQL and data modeling expertise.
• Deep experience with Spark performance tuning and large-scale data processing.
• Strong understanding of cloud platforms (AWS, Azure, or GCP).
• Proven ability to design and deliver production-grade data platforms.