Data Quality Automation Lead Offline

Skills:

 

β€” Hands-on scripting experience using Python or similar scripting languages;

β€” Experience building and automating testing frameworks around data ingestion pipelines for master data management;

β€” Solid skills in writing and understanding SQL queries;

β€”Familiar with CI/CD principles and best practices in data processing;

β€” Π•xperience in Data Validation, Data QA, Pipelines, ETL;

β€” Fluent written and spoken English.

 

As a plus

β€” Familiarity with data analysis tools like Great Expectations;

β€” Python data analysis libraries Pandas, NumPy, Pyodbc, Psycopg2;

β€” AWS services including S3, Redshift;

β€” Experience in Airflow.

 

We offer

 

β€” Challenging work in an international professional environment;

β€” The long-standing team as this is for a long term project;

β€” Competitive salary;

β€” Flexible work-from-home & remote work policy;

β€” PE accounting and support;

β€” 20 paid vacation days per year;

β€” 14 paid sick days per year;

Responsibilities

 

β€” Perform hands-on testing of new pipelines and regression testing;

β€” Utilize Python and SQL to perform data quality control;

β€” Assist team in writing test documents test plan, test cases, and test summaries;

β€” Liaise with various groups including Data Analysts, Data Engineers, Product and Delivery Manager;

β€” Participate in the design process to better understand the project to ensure the team delivers;

β€” Investigate ETL workflows;

β€” Assist in defining new and refining existing processes and procedures;

β€” Create and execute automated verification scripts;

β€” Create reports, dashboards to provide insight into testing, test coverage and alerts;

β€” Design data quality checks and testing framework to investigate the data within the pipeline.

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Job unpublished on 8 July 2021

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