Franklin Templeton | Jobs | Data – Engineer – Research – Analyst | BigDataKB.com | 27-03-22

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Job Location: Hyderabad/Secunderabad

Responsibilities:

  • Develop key data pipelines from loan purchasing channels to Azure Data Lake

  • Establish and grow data warehouses in Snowflake

  • Place AI/ML solutions in production using a variety of execution methodologies

  • Collaborate with expert data scientists to develop low latency models and ETL processes

  • Develop long-term data architecture strategy

  • Incorporate new enterprise tools to enhance data and model monitoring

  • Establish data quality checks and best practices

Required Qualifications:

  • Bachelor s degree in computer science, information technology, engineering or equivalent

  • Expert knowledge of Python 2.7 and 3.x (preferred 3.7#43;)

  • Experience with Python frameworks such as FastAPI, Starlette, Pydantic

  • Expert knowledge of JavaScript and/or TypeScript

  • Experience with NodeJS runtime (and optionally ReactJS framework)

  • Experience with model productionalization and data processing

  • Experience with Azure Data Factory or similar cloud storage infrastructure (GC, AWS, etc.)

  • Experience with Powershell and Bash Scripting

  • Experience with Snowflake and SQL (SQL ANSI standard)

  • Experience with linux distribution (preferably Redhat/RHEL OS)

  • Experience with git

Preferred Qualifications:

  • Master s degree or higher computer/data science, stats, engineering, or equivalent

  • Experience productionalizing Scikit-Learn, XGBoost, and enterprise AI models

  • Experience with asynchronous processing and multithreading (preferably AsyncIO)

  • Experience with Azure Databricks or similar cloud compute infrastructure (GC, AWS, etc.)

  • Experience with Python packages such as Pandas, Numpy, PySpark

  • Experience working in the agile framework with tools such as JIRA and Confluence

  • Experience building ML algorithms (tree-based, neural networks)

  • Experience with financial services and cashflow modeling

  • Experience implementing MLOps concept/frameworks

  • Experience with ASGI servers

  • Experience with Azure DevOps and StreamSets

Apply Here

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