Data engineer

REQUIREMENTS At least 4 years of relevant experience in data systems architecture, data systems integration, and data pipeline setup at production scale Good understanding of cloud computing principles including infrastructure as code, containerization, microservices architecture, cloud security frameworks, identity and access management, network architecture, and distributed systems Proven ability to translate business requirements into technical solutions Excellent communication skills for presenting complex concepts to diverse audiences Experience with cloud security frameworks, compliance requirements, and risk management Experience in data domains (e.g. DataOps, Data Lakehouse) and AI/ML Domains (e.g. MLOps, LLMOps) Strong Knowledge and Hands-on experience with SQL, Python and Apache Spark Hands-on experience with Apache Kafka, Airflow, or similar technologies