Senior Data Engineer Role This is a senior role in data engineering with a focus on developing and maintaining scalable data pipelines. The position involves integrating cloud platforms with Snowflake, supporting AI/ML workflows, and ensuring real-time data processing. Key Responsibilities - Data Pipeline Development: Design, develop, and maintain scalable data pipelines focusing on integration between cloud platforms and Snowflake. - AI/ML Workflow Support: Provide support for AI/ML workflows, including data quality and governance. - Real-Time Data Processing: Ensure real-time data processing, including data caching strategies for improved performance. Required Skills and Qualifications - Technical Requirements: 3-5 years of data engineering experience, strong proficiency in Python, SQL, Scala, and JavaScript, extensive experience with cloud platforms (AWS, GCP), including specific AWS services (MWAA, Glue, S3, DynamoDB, Secrets Manager). - Preferred Experience: Experience with AI/ML pipelines and infrastructure, knowledge of IaC (CDK, CloudFormation), experience with streaming data, Streamlit application development, familiarity with observability tools, understanding of data caching strategies. Benefits - Hybrid Work Model: A flexible work environment that combines remote and office work. - Agile Environment: A collaborative team that works in an Agile manner. - Continuous Learning Culture: Opportunities for growth and development through training and mentorship. Job Function and Industry - Job Function: Information Technology. - Industry: Internet Publishing.