Coe Specialist || GenAI/ Data Engineering || Remote Work

Key Responsibilities:-

• Architecture Design: Develop and maintain enterprise architecture frameworks that support business strategies and goals, focusing on data engineering and generative AI initiatives.
• Data Strategy: Define and implement data management strategies, including data governance, quality, and integration, ensuring that data assets are accessible and actionable.
• Generative AI Implementation: Collaborate with cross-functional teams to identify opportunities for generative AI applications, guiding the development and integration of AI solutions into existing systems.
• Stakeholder Collaboration: Work closely with business leaders, data engineers, and software developers to understand requirements and translate them into architectural solutions.
• Technology Evaluation: Assess and recommend tools and technologies that enhance data processing capabilities, machine learning models, and AI applications.
• Best Practices Development: Establish best practices for data engineering processes, including ETL (Extract, Transform, Load), data pipelines, and AI model deployment.
• Compliance and Security: Ensure that data architecture complies with industry standards and regulations, emphasizing data privacy and security protocols.
• Documentation and Communication: Create detailed architectural documentation and communicate architecture decisions to stakeholders at all levels of the organization.

Qualifications

Education: Bachelors degree in Computer Science, Information Technology, Data Science, or a related field; Master’s degree preferred.

Experience:

• 10+ years of experience in enterprise architecture, data engineering, or a related field.
• Strong understanding of data modeling, data warehousing, and data lakes.
• Experience with Generative AI frameworks and tools (e.g., OpenAI, TensorFlow, PyTorch).

Technical Skills:

• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and machine learning libraries.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills, capable of conveying complex concepts to non-technical stakeholders.
• Proven ability to lead and influence teams in a collaborative environment.

Benefits

• Competitive salary and performance-based bonuses
• Comprehensive health, dental, and vision insurance
• Retirement savings plan with company match
• Opportunities for professional development and continuous learning
• Flexible work arrangements