Role: Data Engineer with AI

Location: Remote

Data Engineer for client engagements with a strong background in AI to join our team. The ideal candidate will be responsible for designing, building, and maintaining data pipelines and infrastructures that support AI-driven solutions and analytics.

Responsibilities Include:

• Data Pipeline Development: Design and implement robust data pipelines to collect, process, and store large volumes of structured and unstructured data.
• Data Integration: Collaborate with data scientists and AI teams to integrate data from various sources, ensuring data quality and accessibility for machine learning models.
• Database Management: Manage and optimize databases and data warehouses to support data retrieval and analytics.
• Data Modeling: Create and maintain data models that facilitate the effective analysis of data for AI applications.
• Performance Tuning: Monitor and optimize the performance of data systems, ensuring efficient processing and storage.
• Documentation: Document data engineering processes, architecture, and standards to ensure clarity and consistency.
• Collaboration: Work closely with cross-functional teams to understand data requirements and translate them into technical specifications.

Requirements:

• Education: Bachelor’s degree in Computer Science, Data Engineering, or a related field; Master’s degree preferred.
• Experience: Minimum of 3 years of experience in data engineering, with a focus on AI and machine learning projects.
• Technical Skills: Proficiency in data engineering tools and technologies (e.g., Apache Spark, Kafka, SQL, NoSQL databases), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP).
• Data Modeling: Strong understanding of data modeling techniques and best practices.
• ETL Processes: Experience with ETL (Extract, Transform, Load) processes and data integration techniques.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to work with large datasets.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.

Preferred Skills:

• Experience with AI frameworks and tools (e.g., TensorFlow, PyTorch).
• Knowledge of machine learning concepts and algorithms.
• Knowledge of natural language processing (NLP) and computer vision techniques.
• Healthcare or Insurance Industry experience preferred but not required