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Python Data Developer
John Keells Holdings
Colombo

Location: 
Contract Type: 

Applications are invited for all candidates to fill the Python Data Developer Job Vacancy at John Keells Holdings

As a Developer at Octave, the John Keells Group Center of Excellence for Big Data Analytics, you will work on production-grade python development to build one of the country's richest data lakes unifying data from hundreds of data sources from across 70+ businesses.

 

What will you be doing at Octave?

Develop production-grade python scripts to capture unified data from across hundreds of sources and ensure quality of data.

Design and create Spark pipelines to support downstream analytics such as machine learning models and reports

Lead teams of 2-3 associate developers

Support maintenance, bug fixing, and performance analysis along data pipelines

 

What skills will make you successful?

At least 2 years of hands-on experience in Python development

Good command of Python language for Data Ecosystem (e.g. Pandas, Scikit-learn)

Working knowledge of SQL

Strong software development foundational skills such as coding practices and unit testing

(Highly desirable) Understanding of Data Engineering principles and methodologies such as Change Data Capture, data platform automation

(Highly desirable) Development experience on cloud tools such as Azure data factory, Azure Data Lake store and Azure DevOps

(Highly desirable) Development experience on big data tools such as PySpark/DataBricks

(Highly desirable) ETL/BI experience on traditional systems (e.g. SSIS) 

 

What will you get in return?

Unparalleled learning opportunity to get upskilled in big data and cloud tools such as Spark/DataBricks and Azure data factory and DevOps

Opportunity to be part of the biggest analytics program in Sri Lanka building the country’s biggest data lake

Unique opportunity to be involved in end-to-end analytics projects from inception to production

A work culture that emphasizes learning and collaboration

Competitive compensation

 

 

Closing Date : 30/12/2019
 

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