EMPLEOS IT

You will be responsible for building automated, repeatable, efficient processes to perform data quality checks across various data assets. It is your duty to ensure high quality data is available to internal stakeholders and customers

To do this you will be designing, developing, and documenting automated (sometimes manual) test plans and test cases writing high-quality, well-structured code. The output of these quality assurance checks should be easy to disseminate to appropriate audiences so that the proper action can be taken to ensure consistent, high-quality data across the organization

You will be involved with requirements gathering, working closely with other teams such as Data Engineering and effectively communicating or explaining technical concepts to developers, product managers, and business partners. You will provide ongoing support of this data quality framework along with continuous improvement and refinement

RESPONSIBILITIES

• Build repeatable, automated, efficient data quality check
• Continuously validate the data quality across data pipelines and repositories against data from source systems
• Work across teams for requirements gathering
• Document test plans and test cases
• Execute test cases, perform bug tracking, document, and share results

QUALIFICATIONS

• B.S. in computer science or information systems fields required, or 5+ years related work experience
• Strong technical background with a mix of development and automation skills
• Proficient in shell scripting, Python, Scala or other programming languages
• Knowledge of Spark/PySpark
• Excellent SQL knowledge, ability to read/write SQL queries
• Skilled in Hive (HQL) and HDFS
• Experience working with both (un)structured data sets, including flat files, JSON xml, ORC, Parquet and AVRO
  
  Interested? Ap