Software QA Engineer (Remote US)
About Us:
Headquartered in Jersey City, NJ, Neptune Retail Solutions is the nations premier retail marketing services company. We are experts at influencing buying behaviors through disruptive, innovative, and results-oriented solutions, including in-store, home-delivered, and digital media tactics. Our powerful advertising and promotional programs are supported through rich data and insights. The countrys largest consumer packaged goods manufacturers rely on NRS for unparalleled consumer reach and engagement.
NRSs digital portfolio is making its mark on the industry. NRS digital products include Checkout 51, Freedom Platform, digital media tools/services (digital display, premium mobile, social, email, DOOH, and digital in-store). We continue to strengthen these existing tactics while expanding our product offerings, partnerships, and capabilities. We offer unique and data-led strategies for our clients to reach their most valuable shoppers. Our products continue to evolve to include best-in-class methods to deliver engaging content at the most impactful time in the most relevant geographies.
Job Description:
Experience: 3 - 5 years of relevant experience in QA
We are looking for a QA Engineer with strong hand on experience in ETL Testing, Report Testing, UI Testing, API Testing, Automation, SQL, Python. This is primarily a Data Eng QA role. Having UI/UX/API testing experience is a plus.
As the QA Engineer, you will own the validation of data engineering project outputs, acting as the point of control for the release of developments to production, and for the validation of technical and functional requirements.
Roles and Responsibilities:
Analyze data for accuracy, completeness, consistency, and validity across different data sources.
Identify data anomalies, outliers, and inconsistencies.
Design and execute comprehensive data quality test plans for data pipelines, ETL processes, data warehouses, analytics front-end and API applications.
Develop test cases to validate data integrity against defined business rules and quality standards.
Continuously monitor data quality metrics to identify trends and emerging issues.
Generate detailed reports on data quality issues, root causes, and corrective actions.
Work closely with data engineers, and other stakeholders to identify and resolve data quality issues and support the on-time delivery of data engineering projects.
Utilize data quality tools and automation frameworks to streamline testing processes.
Develop and maintain automated data quality checks and validation scripts.
TECHNICAL SKILLS:
3-5 years of experience with writing complex SQL queries to extract, manipulate, and analyze data.
1-2 years of experience with big data tools and cloud: GCP Big Query/Snowflake etc.
1-2 years of experience with validation of visualization using BI reporting tools like MicroStrategy, superset, tableau etc.
Experience with object-oriented/object function scripting languages: Python etc.
Knowledge of data modelling and data warehousing principles.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with structured and unstructured datasets from multiple data sources.
Possess a Bachelors degree in Computer Science or equivalent experience.
Applicant Privacy Notice
Neptune Retail Solutions is an Equal Opportunity Employer.
Apply Now
Headquartered in Jersey City, NJ, Neptune Retail Solutions is the nations premier retail marketing services company. We are experts at influencing buying behaviors through disruptive, innovative, and results-oriented solutions, including in-store, home-delivered, and digital media tactics. Our powerful advertising and promotional programs are supported through rich data and insights. The countrys largest consumer packaged goods manufacturers rely on NRS for unparalleled consumer reach and engagement.
NRSs digital portfolio is making its mark on the industry. NRS digital products include Checkout 51, Freedom Platform, digital media tools/services (digital display, premium mobile, social, email, DOOH, and digital in-store). We continue to strengthen these existing tactics while expanding our product offerings, partnerships, and capabilities. We offer unique and data-led strategies for our clients to reach their most valuable shoppers. Our products continue to evolve to include best-in-class methods to deliver engaging content at the most impactful time in the most relevant geographies.
Job Description:
Experience: 3 - 5 years of relevant experience in QA
We are looking for a QA Engineer with strong hand on experience in ETL Testing, Report Testing, UI Testing, API Testing, Automation, SQL, Python. This is primarily a Data Eng QA role. Having UI/UX/API testing experience is a plus.
As the QA Engineer, you will own the validation of data engineering project outputs, acting as the point of control for the release of developments to production, and for the validation of technical and functional requirements.
Roles and Responsibilities:
Analyze data for accuracy, completeness, consistency, and validity across different data sources.
Identify data anomalies, outliers, and inconsistencies.
Design and execute comprehensive data quality test plans for data pipelines, ETL processes, data warehouses, analytics front-end and API applications.
Develop test cases to validate data integrity against defined business rules and quality standards.
Continuously monitor data quality metrics to identify trends and emerging issues.
Generate detailed reports on data quality issues, root causes, and corrective actions.
Work closely with data engineers, and other stakeholders to identify and resolve data quality issues and support the on-time delivery of data engineering projects.
Utilize data quality tools and automation frameworks to streamline testing processes.
Develop and maintain automated data quality checks and validation scripts.
TECHNICAL SKILLS:
3-5 years of experience with writing complex SQL queries to extract, manipulate, and analyze data.
1-2 years of experience with big data tools and cloud: GCP Big Query/Snowflake etc.
1-2 years of experience with validation of visualization using BI reporting tools like MicroStrategy, superset, tableau etc.
Experience with object-oriented/object function scripting languages: Python etc.
Knowledge of data modelling and data warehousing principles.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with structured and unstructured datasets from multiple data sources.
Possess a Bachelors degree in Computer Science or equivalent experience.
Applicant Privacy Notice
Neptune Retail Solutions is an Equal Opportunity Employer.
Apply Now