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Position : senior AI
Required Experience: 4 - 8 Years
Skills: Data Engineering, AI, SQL, SnowFlakes
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Job Title: Senior Data / AI Engineer
Role Overview:
We are looking for a Senior Data/AI Engineer with strong experience in modern data engineering and cloud-based AI infrastructure. The role involves designing and building scalable
data pipelines, integrating multiple data sources, and leveraging AWS and modern data platforms to enable advanced analytics and AI solutions.
Key Responsibilities:
Design, develop, and maintain data pipelines using ETL frameworks and orchestration tools (e.g., AWS Airflow).
Work with Big Data platforms such as
Snowflake, Redshift, or similar technologies for large-scale data storage and processing.
Implement data integration solutions ensuring high data quality and reliability.
Leverage AWS Bedrock or similar platforms to integrate
AI/ML models into data workflows.
Collaborate with Data Scientists and Analysts to operationalize ML models in production.
TypeScript/JavaScript or use similar scripting languages for automation and data transformation.
Ensure adherence to data governance, security, and compliance standards.
Required Skills & Qualifications:
Strong experience in Big Data platforms —
Snowflake, Redshift, or equivalent.
Proficiency in AWS cloud ecosystem —
Airflow, Bedrock,
S3, Lambda, etc.
Hands-on experience in ETL design,
data modeling, and data integration.
Proficiency in Python or a similar scripting language.
Experience with AI/ML pipelines,
model deployment, or data-driven automation.
Job Type: Full-time
Application Question(s):
Experience:
Work Location: Remote
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