Data Quality Automation Lead Offline

Skills:

— Hands-on scripting experience using Python or similar scripting languages;

— Experience building and automating testing frameworks around data ingestion pipelines for master data management;

— Solid skills in writing and understanding SQL queries;

—Familiar with CI/CD principles and best practices in data processing;

— Еxperience in Data Validation, Data QA, Pipelines, ETL;

— Fluent written and spoken English.

As a plus

— Familiarity with data analysis tools like Great Expectations;

— Python data analysis libraries Pandas, NumPy, Pyodbc, Psycopg2;

— AWS services including S3, Redshift;

— Experience in Airflow.

We offer

— Challenging work in an international professional environment;

— The long-standing team as this is for a long term project;

— Competitive salary;

— Flexible work-from-home & remote work policy;

— PE accounting and support;

— 20 paid vacation days per year;

— 14 paid sick days per year;

Responsibilities

— Perform hands-on testing of new pipelines and regression testing;

— Utilize Python and SQL to perform data quality control;

— Assist team in writing test documents test plan, test cases, and test summaries;

— Liaise with various groups including Data Analysts, Data Engineers, Product and Delivery Manager;

— Participate in the design process to better understand the project to ensure the team delivers;

— Investigate ETL workflows;

— Assist in defining new and refining existing processes and procedures;

— Create and execute automated verification scripts;

— Create reports, dashboards to provide insight into testing, test coverage and alerts;

— Design data quality checks and testing framework to investigate the data within the pipeline.