- Drive the architecture of our application platform, considering the team and our future product roadmap.
- Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and
ensuring software is adequately reviewed, tested, and integrated.
- Design and develop production-ready APIs amd algorithms at scale
- Design, develop, process and analyse data collections and processing from diverse sources, large scale
structured and unstructured data
- Build new features for internal and external users, and refactor existing ones to make them better.
- Drive optimization, testing and tooling to improve quality of solutions
Requirements
- 6+ years of experience using one or more of the following languages: Python (Preferred), SQL, R.
- 5+ years of experience with database and SQL (AWS Redshift (Preferred), Postgres, SQL Server)
- Demonstrated expertise working with and maintaining open-source data analysis platforms, including but
not limited to: Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools Spark
(PySpark), HDFS, Kafka and other high-volume data tools
- Search Analytics through Elastic Search.
- Expert knowledge of distributed computing, optimization techniques and multiprocessing design principals
using Python
- Experience with NoSQL and streaming platforms, e.g. Kafka, MongoDB, Neo4j is a plus
- Experience with advanced analytics and modern machine learning techniques is a plus
- Experience with cloud native services such as AWS EMR, Sagemaker is a plus
- Proficiency with APIs, containerization and orchestration is a plus
- Experience working in a Linux environment.
- Exceptional attention to detail along with strong communication skills
- Bachelors degree in a quantitative discipline or engineering.
- Experience in healthcare industry with healthcare data analytics products
About the recuiterMember since Mar 14, 2020 Meetul Jain
from Karnataka, India