Key skills
PythonSQLAIMLGenAILLMMLOpsETLELTData LakeAnalyticsSnowflakeSparkKafkaAirflowdbtAWSAzureGCPStakeholder ManagementCommunication
About this role
APRIDEN is seeking a skilled Data Engineer with strong expertise in Snowflake and AI/ML technologies. The ideal candidate will be responsible for building scalable data pipelines, enabling advanced analytics, and supporting AI-driven solutions.
Responsibilities:
- Design, develop, and maintain scalable data pipelines using Snowflake
- Implement data ingestion, transformation, and integration processes
- Work with structured and unstructured data for AI/ML use cases
- Collaborate with data scientists to deploy and optimize AI/ML models
- Optimize Snowflake performance, cost, and data architecture
- Ensure data quality, governance, and security standards
- Support real-time and batch data processing frameworks
Requirements:
- Strong experience with Snowflake (data modeling, performance tuning, security)
- Proficiency in SQL and Python
- Experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt)
- Hands-on experience with cloud platforms (AWS/Azure/GCP)
- Understanding of AI/ML concepts and model deployment
- Experience with big data technologies (Spark, Kafka is a plus)
- Strong problem-solving and analytical skills
- Good communication and stakeholder management
- Ability to work in a fast-paced, collaborative environment
- Required independent contractor who can work on W2
- Experience with MLOps and model lifecycle management
- Knowledge of data lake and lakehouse architectures
- Familiarity with GenAI/LLM integration is an added advantage