Data Quality Analyst

Bachelor’s Degree, Computer Science, Engineering or related is requirement

8+ years of work experience in QA, preferably in data science or relevant space

5+ yrs applied experience writing complex SQL / Spark SQL on large data sets to transform data, facilitate accurate and reliable data analytics across various functions.

Strong coding abilities in Python, PySpark, Pandas or other similar tools for large scale data processing, data quality checks, validations and analysis.

Advanced proficiency in SQL and familiarity with other relational data via Oracle, Postgres, and/or SQL Server

Proficiency with industry recognized ETL/ELT testing methodologies, techniques, processes and standards

Hands-on experience with Databricks in AWS environment

Experience in automation of data pipelines, data services, cloud data warehouses, business intelligence, and machine learning platforms

Experience in developing Databricks notebook to test data quality and business requirements

Passionate and highly skilled in utilizing programming languages and analytics tools/technologies to validate products, machine learning models, data pipelines, and data deliverables