• You will act as a link between Technology and Data Analytics Team by translating analytical requirements into secured and performance technical solutions
• You will Build, maintain and scale efficient data infrastructure / EDW, ETL and reporting pipelines
• You will develop and maintain the data platform, business intelligence and experimentation tools
• You will lead the management of data collection, organize the models, and forecast future needs
• You will automate repeatable tasks and reports generation
• You will help acquire, build, maintain, filter, and “clean” data, specifically related to healthcare products data from various systems and sources

QUALIFICATIONS & REQUIREMENTS:

• +3 years of experience using Python (Python, Pandas, Numpy, Jupyter, Airflow, Celery, etc.)
• +3 years of experience using and managing MySQL solutions including performance tuning
• Experience building data pipelines in cloud environments (GCP, AWS, Azure)
• Experience in integrating 3rd party REST APIs in an efficient manner
• Experience combining data from various sources (S3, Database, API, Pub/Sub) and formats (SQL, Excel, CSV, JSON, Parquet, etc.)
• Experience working with CI/CD
• Experience using containers (Docker, k8s)
• Experience using serverless infrastructure (SQS, Pub/Sub, lambda, cloud functions, etc.)
• Nice to have: Apache NiFi, ELK, BigQuery, Apache Kafka