Data Quality Automation Engineer

About Snapp
Snapp is the pioneer provider of ride-hailing mobile solutions in Iran that connects smartphone owners in need of a ride to drivers who use their private cars offering transportation services. We are ambitious, passionate, engaged, and excited about pushing the boundaries of the transportation industry to new frontiers and be the first choice of each user in Iran.


About the team
Quality Engineering in Data Team plays a key role in validating the accuracy and reliability of the data gathered by the team from each part of the company and its integration into a Data Lake, and also analyzing data and verifying the management Dashboards, BI and KPI metrics. We are responsible for the end-to-end testing of the AI/ML Model developed to be ingested in the core product and varied Data Pipelines and APIs consumed by other team. We are also responsible to the Non-functional testing of the projects within data team.
Responsibilities

• Data Quality Engineer will partner closely with the data creator, data stewards, data consumer to ensure the data is usable, accurate and compliant
• Participate in mapping business data sources to appropriate repositories of data
• Identify new critical data elements and metadata
• Accountable for data discrepancies and mitigation, data availability and consistency
• Design, Lead & manage the database implementation strategy and testing plans.
• Leverage data quality best practices to design and maintain policies, methodologies, guidelines around data quality, data profiling & data cleansing
• Maintain Documentation and Company wide Transparency on Data Quality

Requirements

• 4+ years of relevant work experience
• Knowledge of Backend / ETL testing
• Data Manipulation and transformation using queries
• Scripting using Python
• Test automation for Backend
• Data Warehouse and OLAP concepts
• Team Work
• Lateral Thinker
• Eye for Details
• Quality oriented
• Test automation of data load/volume test
• Working knowledge of PyTest, GreatExpectations