Jobautometa Inc

We are looking a Senior Data Engineer with extensive experience in designing and building scalable data pipelines, integrating AI/LLM models, and developing automation solutions using Python. The ideal candidate will have strong hands-on expertise in ETL workflows, deep proficiency with cloud platforms, and a proven track record of implementing robust data governance and security practices. Role & responsibilities Bachelors or Masters degree in Computer Science, Engineering, or a related field. Extensive full-lifecycle data engineering experience within enterprise environments. Strong expertise in ETL development, API integrations, data processing workflows, and implementation of GenAI-powered solutions Deep expertise in ETL pipeline development, orchestration tools and troubleshooting. Advanced proficiency with Snowflake, including data modeling, security, optimization, and role-based access control. Strong grounding in data governance, cataloging, lineage, access management, and regulatory compliance best practices. Proven experience designing and implementing data security architectures (encryption, tokenization, masking, monitoring). Proficiency in SQL and at least one programming language (Python preferred). Familiarity with distributed systems, cloud-native data platforms (AWS, GCP, Azure), and scalable storage technologies. Excellent analytical, problem-solving, and stakeholder communication skills. Experience mentoring or leading teams is a plus. Preferred candidate profile Proficient in Python for data processing and automation. Strong experience with Cloud Services and GenAI is Plus Expertise in PostgreSQL, including query optimization and schema design. Solid understanding of data modeling, data warehousing, and ETL concepts. Experience with version control (Git) and CI/CD pipeline implementation. Knowledge of data security, governance, and regulatory compliance best practices. Send us your personalized email with your resume to support@jobautometa.com