Description

You will design and implement data warehouse solutions to support reporting, analytics, and machine learning requirements.

This role is on-site.

Responsibilities

• Develop solution blueprints and sustainable architectures ensuring secure access and future expansion.
• Design conceptual, logical, and physical data models for data warehouses and data marts.
• Build, test, and manage ETL/ELT processes, including metadata definition and Change Data Capture methodologies.
• Lead database analysis, design, and implementation efforts while ensuring performance and scalability.
• Facilitate Agile ceremonies, manage project scope, and mentor team members to improve scrum maturity.

Required Skills

• 12+ years of total IT experience with at least 5 years of AWS cloud experience.
• Expertise in AWS services: Redshift, Glue, Lambda, SQS/SNS, IAM, and network setup.
• Proficiency in Python programming.
• Extensive experience in data modeling, relational database design, and SQL.
• Hands-on experience with ETL/ELT process development and tuning.
• Deep understanding of Data Lake and Data Warehouse design principles.
• Experience with Snowflake and integrating AWS with Active Directory.
• Knowledge of governance tools including lineage, catalog, and classification.
• AWS Associate level or AWS Certified Cloud Practitioner certification.

Preferred Skills

• Certified Scrum Master (CSM) designation.

Key Skills

Education

Any Graduate