Description

Key Skills: AWS Cloud, SQL, Leadership, Python, Gen AI, Snowflake, Spark, Agile, Team Management, Scrum

Roles and Responsibilities:

• Lead architecture, design, and development of large-scale enterprise data solutions using Spark, Python, SQL, and Snowflake.
• Drive delivery of data pipelines and platform capabilities on AWS, ensuring reliability, performance, and cost-effective operations.
• Establish and enforce data management practices including metadata management, data cataloging, and data governance.
• Provide people leadership and team management, including coaching, performance management, and technical mentoring.
• Apply working knowledge of GenAI tools to support data/analytics use cases and modernize data workflows.

Skills Required:

• 15+ years of experience in data engineering and platform delivery; 15 - 22 years total experience.
• Spark (7+ years) and Python (7+ years) for building and optimizing data processing pipelines.
• AWS Cloud (5+ years) for designing and delivering scalable data platform components.
• SQL (5+ years) for data modeling, querying, and performance tuning across enterprise datasets.
• Snowflake (3+ years) for data warehousing, ingestion, and analytics enablement.
• Mandatory  experience in people management/ Global Team Management

Good to Have:

• Agile and Scrum practices, including experience operating in iterative delivery environments.
• Team management experience and strong coaching/mentoring background.

Education: Bachelor's degree in a related technical/business area or equivalent work experience

Key Skills

Education

Any Graduate