Responsibilities :
- Excellent Python programming and debugging skills. (Refer to Pytho JD given below) - Proficiency with SQL, relational databases, & non-relational databases - Passion for API design and software architecture. - Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners - Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems. - Experience with modern large language model (Chat GPT/BERT) and applications. - Expertise with performance optimization. - Experience or knowledge in public cloud AWS services - S3, Lambda. - Familiarity with distributed databases, such as Snowflake, Oracle. - Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
Additional Responsibilities:
Python application development - 4+ in python/scala Python - experience in using, file operation , OOPS, multiprocessing and threading SQL and PL/SQL development RDBMS and Data modelling Experience in REST service development Experience in docker and kubernetes deployments Basic idea of Cloud architecture and services
Technical and Professional Requirements:
2+ years Python/Data Science skillset
5 years of experience with building data pipelines, data processing and reporting using Python
Python libraries numpy, Pandas, matplotlib, seaborn, Scikitlearn Data Science Data Manipulation, Wrangling, time series forecasting etc prior experience in any data science project building data pipelines, data processing and reporting
Experience of using Agile based development methodologies
Good understanding software development and Enterprise architecture patterns
Hands-on experience with open source big data technologies
Data processing experience with Streaming, data wrangling, crawling using Python libraries
Expertise and understanding of common methods in data transformation
Ability to understand API Specs, determine relevant API calls,
ETL i.e. Extract- Transform- Load data and implement SQL friendly data structures
