Expert Cloud Data Engineer

Role Overview:
We are looking for an Expert Cloud Data Engineer with 10–12 years of experience to architect, build, and maintain scalable, high-performance data platforms. The role focuses on designing robust data pipelines and enabling advanced analytics using modern cloud and data technologies.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Databricks

• Build and optimize data processing workflows on Azure cloud platform

• Implement and manage MLflow for end-to-end machine learning lifecycle

• Develop and manage Snowflake-based data warehousing solutions

• Ensure high data quality, governance, security, and performance

• Optimize data ingestion, transformation, and storage processes

• Troubleshoot and resolve data-related issues across systems

• Collaborate with data scientists, analysts, and engineering teams

Required Skills:

• 10–12 years of experience in data engineering and cloud platforms

• Strong expertise in Azure (ADF, ADLS, Synapse, etc.)

• Hands-on experience with Databricks (Spark, Delta Lake)

• Proficiency in MLflow for experiment tracking and deployment

• Strong experience with Snowflake architecture and optimization

• Expertise in SQL, Python, and distributed data processing

• Experience building scalable, production-grade data pipelines