Sr. Data Engineer- Databricks, Apache Spark

Job Description

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.