Posted:17 hours ago|
Platform:
Work from Office
Full Time
• Building end-to-end data pipelines for ML models, other data driven solutions such that the pipeline is directly usable for deployment/implementation.
• Building and maintaining data pipelines: data cleaning, transformation, roll-up, pre-processing, etc.
• Building/developing data insight solutions various teams like Credit, Collections, Distribution, Vigilance, HR, etc.
• Building automation solutions using Python, SQL, Docker, etc. as required.
• Database management and automation.
• Working experience on Linux server to installation and configuration of software (related to data science and AI domain), service creation, basic shell scripting etc.
• Rest API development and development/management using Docker and related cloud technologies.
• Primary skill set:
• Data analysis experience. Understand and identify the data points and data acquisition mechanism for structured and unstructured data (text/json/xml) for machine learning data pipeline.
•Data management skill sets:
• Automate regular data acquisition, application process etc. using Python scripts.
• Other useful skills
• Should be able to work on problems independently or with less support
• Concept of bigdata and Spark (PySpark) knowledge
• Cloud experience (AWS/Azure/GCP)
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