Responsibilities and qualifications for the position of Principal Engineer - Data Engineering.

It is targeted at experienced data engineers with advanced expertise in designing, implementing, and maintaining large-scale data platforms. Here's a summary of key elements:

Responsibilities

1. Technical Leadership

• Drive the technical design of data platforms using open-source and hybrid cloud technologies.
• Set and implement data engineering standards and design templates.
• Provide leadership for solution design, documentation, and deployment.

1. Collaboration

• Work with product owners, data scientists, and system architects.
• Build strong relationships with other teams to develop integrated data solutions.

1. Development

• Design and implement scalable data models and pipelines.
• Use batch and streaming solutions for data integration and processing.

1. Innovation & Best Practices

• Stay updated on and incorporate new tools, technologies, and best practices.
• Lead innovative solutions, including those supporting AI/ML applications.

1. Operational Excellence

• Ensure systems are reliable, scalable, and high-performing.
• Solve complex data problems and maintain system standards for security and quality.

Requirements

Must-Have Skills:

• Bachelor's degree or equivalent experience.
• 6+ years of experience in data engineering or related fields.
• Proven ability to analyze business problems and deliver enterprise-scale data solutions.
• Advanced knowledge of Google Cloud Platform/BigQuery.
• Proficiency in Big Data technologies (e.g., Hadoop, Spark, Scala, Kafka).
• Experience with SQL,NoSQL, and data governance tools.
• Strong scripting and stream-processing knowledge.

Preferred Skills:

• Master’s degree in Computer Science or related field.
• Contributions to open-source data solutions.
• Certifications in GCP or other data warehousing technologies.
• Experience in agile development environments.
• Strong communication and collaboration skills.

Additional Highlights

• This role emphasizes creativity and problem-solving, encouraging contributions to innovative solutions like digital twin technologies.
• A focus on data security, automation, and high-quality output is essential.
• Open to candidates who meet most requirements and show potential for growth in others.

This opportunity is ideal for professionals passionate about data engineering, innovation, and collaboration. If you fit this profile, consider applying to be part of a team driving meaningful impact through data solutions.