Data Engineer

Responsibilities

• Responsible for ensuring that data pipelines are deployed successfully into production environment
• Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services
• Automate data pipelines testing and deployment using CI/CD

Requirements

• 5 years of relevant work experience in deploying data pipelines in a production environment
• Experience working in a multi-disciplinary team of machine learning engineers, data engineers, software engineers, product managers and subject domain experts
• High proficiency in SQL and relational databases
• High proficiency in at least 1 data pipeline orchestration tool (Eg. Airflow, Dagster)
• High proficiency in Python and related data libraries (eg. Pandas)
• Experience with Docker
• Experience with CI/CD tools like Jenkins
• Experience in Agile working environment
• Experience with AWS cloud services like RDS, EKS, EMR, Redshift·
• Experience with Snowflake· Experience with Flask deployment of micro-services, preferably FastAPI·
• Experience with big data tools: Spark, Hadoop, Kafka etc.· 
• Experience with SQLAlchemy and Alembic libraries is a plus