Description

You design and implement large-scale data solutions, owning the architecture for data pipelines and warehousing on AWS and Azure. You lead technical efforts while maintaining hands-on expertise with core services.

This role is on-site.

Responsibilities

• Design data warehousing solutions and data models using AWS and Azure services.
• Build and optimize data pipelines using AWS Glue, Lambda, Redshift, and S3.
• Implement big data solutions leveraging Hadoop and Spark ecosystems.
• Develop automation and scripting tools using Python.
• Ensure database design integrity and SQL performance across platforms.

Required Skills

• 15+ years of experience in data architecture and data engineering.
• Hands-on expertise with AWS data services: Glue, Lambda, Redshift, S3.
• Proficiency in designing data solutions on AWS and Azure.
• Experience with big data technologies: Hadoop, Spark.
• Strong skills in data modelling, database design, and SQL.
• Proficiency in Python for scripting and automation.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Knowledge or experience in AI/ML models.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree