Senior Data Engineer – Data Fabric Practice

View full description

Requirements:

• 5+ years of experience in data engineering with a focus on modern data ecosystems.
• Expertise in cloud platforms such as Google Cloud, AWS, or Azure.
• Hands-on experience with ETL processes, real-time data pipelines, and tools like Apache Kafka.
• At least one relevant certification is required (e.g., AWS Certified Data Analytics).
• Proficiency in JavaScript, Python, and Java.
• Deep knowledge of data modeling, architecture, and performance optimization.
• Familiarity with AI/ML use cases.
• Exceptional communication and problem-solving skills.
• Capacity to collaborate with diverse teams and align technical execution with business priorities.
• Leadership experience or interest in mentoring.

Responsibilities:

• Shape the Data Fabric Practice by developing accelerators, frameworks, and best practices.
• Build Modern Data Architectures to unify access to enterprise data for analytics and decision-making.
• Enable Real-Time Data Synchronization with event-driven architectures like Kafka.
• Collaborate with cross-functional teams to align data solutions with strategic goals.
• Optimize the Data Ecosystem for scalability and reliability of data pipelines.