Principal Data Engineer

• Lead the design and development of data solutions to enable seamless delivery of data for analysis, reporting, and visualization.

• Define and enforce data engineering best practices and standards across the organization.

• Collaborate with cross-functional teams to understand data requirements and develop data architecture strategies.

• Build scalable and efficient data pipelines to ingest, transform, and load data from various sources.

• Implement data governance and security measures to ensure data privacy and compliance.

• Optimize data processing and querying performance to meet performance requirements.

• Mentor and guide junior data engineers to develop their technical skills and knowledge.

• Stay up-to-date with the latest trends and technologies in data engineering to drive innovation and improvement.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.

• 8-10+ years of experience in data engineering or a related role.

• Strong proficiency in data engineering technologies and tools, including ETL frameworks, SQL, Python, and big data platforms (e.g., Hadoop, Spark).

• Solid experience in building and optimizing data pipelines and data architectures.

• Knowledge of data governance, data security, and data privacy best practices.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills to work effectively with cross-functional teams.