Sr. Data Engineer (225-902)

As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines and architectures that will empower our data-driven decisions. You will work closely with data scientists, analysts, and other stakeholders to ensure the seamless integration and optimization of our data processing systems. Your expertise will drive the transformation of raw data into actionable insights, contributing significantly to our organization's strategic goals. We are seeking an experienced professional with a strong analytical mindset, a passion for data excellence, and the ability to lead complex projects from inception to completion. Your contributions will be pivotal in enhancing the efficiency and scalability of our data operations, making you an invaluable member of our team.

Responsibilities

• Design and implement scalable, high-performance data processing systems for the organization.
• Develop, test, and maintain robust data pipelines using modern technologies and tools.
• Collaborate with data scientists and analysts to understand data requirements and objectives.
• Enhance and optimize existing data structures for improved efficiency and reliability.
• Ensure data integrity and consistency across various data sources and systems.
• Monitor and troubleshoot data pipeline issues to ensure smooth operations.
• Lead data integration projects, ensuring seamless data flow across systems.
• Implement best practices for data security and privacy in all data operations.
• Produce comprehensive documentation for data solutions, pipelines, and processes.
• Stay current with emerging data engineering technologies and methodologies.
• Mentor junior data engineers, providing guidance and support in their professional growth.
• Participate in strategic planning to align data engineering initiatives with business goals.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field is required.
• Minimum of 5 years of experience in data engineering or related roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Extensive experience with SQL and relational database management systems.
• Strong knowledge of data warehousing and ETL processes and tools.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills with the ability to convey technical information effectively.