Job Requirements
Skills
Job description for Data Engineer (Python & ETL) at SwipeRx
- Act as a link between Technology and Data Analytics Team by translating analytical requirements into secured and performant technical solutions
- Make sure that data is secure in the transport and at rest
- Build, maintain and scale efficient data infrastructure / EDW, ETL a,nd reporting pipelines
- Develop and maintain the data platform, business intelligence a,nd experimentation tools
- Lead the management of data collection, organize the models, and forecast future needs
- Automate repeatable tasks and reports generation
- Help acquire, build, maintain, filter, and “clean” data, specifically related to healthcare products data from various systems and sources
- +2 years of experience using Python (Python, Pandas, Numpy, Jupyter, Airflow, Celery, etc.)
- +2 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.)
- BS in Mathematics, Statistics, Economics, Engineering or other related field
- Nice to have: Apache NiFi, ELK, BigQuery, Apache Kafka
- Significant career growth opportunities in a fast-growing business
- Competitive compensation package
- Challenging and diverse assignments
- Fun & casual working environment in an international team.
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