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;
βFamiliar with CI/CD principles and best practices in data processing;
β Πxperience 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.
The job ad is no longer active
Job unpublished on
8 July 2021
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