Job Title: Senior Quality Engineer
Job Description
As a Senior Quality Engineer, you will play a pivotal role in validating data pipelines, dashboards, and SQL queries, ensuring data integrity through automated testing. You will collaborate closely with the data science team to enhance testing processes, contributing your expertise in UI and Back End automation testing within the Data Platform team.
Responsibilities- Validate data pipelines, dashboards, and SQL queries through automated testing to ensure data integrity.
- Collaborate with the data science team to enhance testing processes.
- Focus on data validation and testing within the Data Platform team.
- Contribute to the Quality Engineering practice with expertise in UI and Back End automation testing.
- Collaborate with the team for proof of concept (POC) and troubleshooting technical issues.
- Stay proactive and continuously self-learn new skills.
- Utilise experience in data analytics, data engineering, or related fields.
- Understand data governance and compliance standards.
- Utilise excellent written and verbal communication skills.
- Apply Agile processes expertise.
- Write comprehensive test plans and test strategies.
Essential Skills- Expertise in ETL and Database Testing.
- Expert proficiency in SQL and Databricks.
- Intermediate knowledge of Hadoop.
- Expertise in PySpark.
- Intermediate proficiency in Python Automation.
- Expert in Version Control systems like Git.
- Intermediate skills in Data Visualization and Tableau.
- Intermediate experience with AWS.
- Beginner-level proficiency in other automation frameworks (UI/API).
- Expert in Test Case Management Tools like Zephyr/XRay/TestRail.
- Expertise in Project Management Tools such as Jira.
Additional Skills & Qualifications- Familiarity with data governance and compliance standards.
- experience in data analytics, data engineering, or related fields.
Why Work Here?Join a dynamic team where you will have the opportunity to collaborate with top professionals in the field, enhancing your skills in a supportive environment. The company values innovation, continuous learning, and offers flexible work arrangements, fostering a healthy work-life balance.
Work EnvironmentThe role involves working within a team that utilises a variety of cutting-edge technologies and tools such as SQL, Databricks, PySpark, and Jira. The work environment is agile, fostering a collaborative and innovative atmosphere. Dress code is business casual, and the team supports flexible working hours to accommodate work-life balance.
Location
Dublin, Ireland
Trading as TEKsystems. Allegis Group Limited. Level 1, The Chase, Carmanhall Road, Sandyford, Dublin 18, Ireland. No. 909257. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website.
To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website.
We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.