Description

Design and implement scalable data architectures for analytics, AI/ML, and business intelligence.

Responsibilities

• Develop data models, pipelines, APIs, and integration strategies across multiple sources.
• Architect ETL/ELT, streaming, and event-driven solutions for cloud, on-premises, and hybrid environments.
• Optimize SQL and Python code for big data performance and efficiency.
• Implement data governance standards using tools like Collibra, Alation, or Informatica.
• Drive business strategy and client management through clear architectural communication.

Required Skills

• 5+ years of hands-on experience with modern data platforms and architectures.
• Deep understanding of ETL/ELT, streaming, and event-driven patterns.
• Proficiency in SQL and Python for data processing and optimization.
• Experience with big data query optimization and performance tuning.
• Practical experience with data governance tools (Collibra, Alation, Informatica).
• Ability to work across cloud, on-premises, and hybrid deployment environments.
• Strong communication and client management skills.

Preferred Skills

• Familiarity with Google Cloud Platform (GCP) data services.

Key Skills

Education

Any Graduate