Senior Data Engineer

Infojini Consulting is actively seeking a highly experienced and dedicated Senior Data Engineer to join our remote team. In this pivotal role, you will leverage your extensive expertise to design, develop, and optimize robust data solutions, playing a crucial part in shaping our data infrastructure and strategy. This is an exceptional opportunity for a seasoned professional to make a significant impact on complex data projects within a dynamic and forward-thinking environment.

As a Senior Data Engineer, you will be instrumental in building and maintaining scalable data pipelines and data warehouses that support critical business intelligence and analytics initiatives. You will be expected to bring a deep understanding of modern data platforms and best practices to ensure the reliability, performance, and security of our data ecosystem. Your contributions will directly enable data-driven decision-making across the organization.

Key Responsibilities

• Architect, design, develop, and implement scalable and efficient data pipelines using cutting-edge technologies.
• Lead the development and maintenance of our data warehouse solutions, primarily utilizing Snowflake.
• Implement and manage data transformation processes with DBT to ensure data quality and integrity.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
• Optimize existing data solutions for performance, cost-efficiency, and scalability within the AWS ecosystem.
• Ensure data governance, security, and compliance standards are met across all data initiatives.
• Mentor junior data engineers and contribute to the continuous improvement of our data engineering practices.
• Troubleshoot and resolve complex data-related issues, ensuring minimal disruption to business operations.

Requirements

• A minimum of 15 years of progressive experience in data engineering or a related field.
• Proven expertise in cloud data platforms, specifically AWS, including services like S3, EC2, Lambda, and Glue.
• Demonstrable mastery in building and managing data warehouses with Snowflake.
• Extensive experience with DBT for data transformation and modeling.
• Strong proficiency in SQL for data manipulation, analysis, and optimization.
• Solid programming skills, preferably in Python, for scripting and automation of data processes.
• Deep understanding of data warehousing concepts, ETL/ELT methodologies, and data modeling techniques.
• Excellent problem-solving abilities, strong analytical skills, and a meticulous attention to detail.
• Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.

What We Offer

• The opportunity to work remotely, providing flexibility and work-life balance.
• Engaging and challenging projects that push the boundaries of data engineering.
• A collaborative and supportive work environment where innovation is encouraged.
• Opportunities for professional growth and continuous learning within the data engineering domain.
• The chance to make a significant impact on the company's data strategy and technological landscape.