Senior Databricks Engineer

• *Databricks Engineer**

Location: Remote

Employment Type: Contract

Experience Required: 8\+ Years

• *Job Overview**

We are seeking a highly skilled Databricks Engineer with strong expertise in Data Lakehouse architecture, Apache Spark, Azure Cloud, and modern data engineering practices. The ideal candidate will be responsible for designing, developing, and optimizing scalable data solutions using the Databricks platform.

Key Responsibilities

• Design and implement scalable Data Lakehouse solutions on Databricks.
• Develop and optimize ETL/ELT pipelines using PySpark and SQL.
• Monitor, troubleshoot, and improve Spark job performance.
• Implement data governance and security using Unity Catalog.
• Build and manage CI/CD pipelines and deployment processes.
• Collaborate with cross\-functional teams to deliver business\-critical data solutions.
• Ensure high availability, scalability, and reliability of data platforms.

Required Skills

• 8\+ years of experience in Data Engineering or Big Data technologies.
• Strong hands\-on experience with Databricks, Apache Spark, Delta Lake, and Azure.
• Advanced proficiency in Python (PySpark) and SQL.
• Experience with Delta Live Tables (DLT) and Unity Catalog.
• Knowledge of Terraform, CI/CD, and Infrastructure as Code.
• Strong analytical and problem\-solving skills.

Preferred Skills

• Experience with SAP data integration (ECC, S/4HANA).
• Knowledge of MLflow, Feature Store, and AI/ML solutions.
• Exposure to GenAI, LLMs, or Mosaic AI.
• Databricks Certification is preferred.

Interested candidates can share their updated resume at

ritika.dua@codetoday.io

Pay: ₹100,000\.00 \- ₹160,000\.00 per month

Work Location: Remote