Description

You will lead the design and delivery of trusted, scalable data solutions.

Responsibilities

• Design and deliver trusted data collection, storage, access, and analytics solutions securely and scalably.
• Develop, test, and maintain critical data pipelines and architectures across various business functions.
• Update logical or physical data models based on evolving business requirements.
• Produce architecture and design artifacts for complex applications while adhering to design constraints.
• Gather, analyze, and synthesize data to develop visualizations and reporting for continuous improvement.

Required Skills

• 5+ years of applied experience across the data lifecycle with spark-based frameworks for ETL, ELT & reporting.
• Expert proficiency in Apache Spark, Python, SQL, and Java.
• Hands-on experience with Big Data, ETL, Data Pipelines, and Performance Tuning.
• Working knowledge of AWS services and NoSQL databases.
• Familiarity with software development lifecycle, CI/CD, and Microservice architecture.
• Experience implementing data security concepts (IAM, Encryption, KMS).
• Ability to review controls to ensure enterprise data protection.

Key Skills

Education

Any Graduate