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