HomeFranklin Templeton | Jobs | Data Engineer | BigDataKB.com | 02-04-22
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Franklin Templeton | Jobs | Data Engineer | BigDataKB.com | 02-04-22

Job Location: Hyderabad/Secunderabad

What is the Senior Data Engineer in Fixed Income team responsible for

  • On the Multisector Fixed Income team at Franklin Templeton Investments, we utilize cutting edge technology and mathematics to consistently generate sector-leading risk-adjusted returns.

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    We are thrilled to add a talented data engineer to our group in order to enhance data availability, visualization of model output and enable rapid model deployment to impact portfolio positioning.

  • You will be encouraged to develop creative solutions in a challenging problem space given a healthy mix of autonomy as well as guidance from senior leaders. You will have the opportunity to influence a variety of business vectors, making tangible impact early and often.

What are the ongoing responsibilities of the Senior Data Engineer

  • Develop key data pipelines from data sources to data warehouses

  • Establish and grow data warehouses.

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

  • Collaborate with expert data scientists to develop 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

What ideal qualifications, skills experience would help someone to be successful

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

  • 3-6 years of relevant experience

  • Expert knowledge of Python 2.7 and 3.x

  • Experience with model productionalization and data processing

  • Experience with cloud infrastructure (GC, AWS, Databricks, etc.)

  • Experience with PowerShell and Bash Scripting

  • Experience with Snowflake, MySQL, and SQL (SQL ANSI standard)

  • Experience with Linux environments

  • Experience with git

  • Familiarity with R/Shiny

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 Python packages such as Pandas, Numpy, PySpark

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

  • Experience building ML algorithms

  • Experience implementing MLOps concept/frameworks

  • Experience with Azure DevOps and StreamSets

  • Familiarity with PHP/JavaScript/HTML/CSS

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