Founded in 2011, Cleeng is the Subscriber Retention Management® Company. Focusing on the Media & Entertainment industry, we help our clients create a long-lasting relationship with their subscribers by providing the best Direct to Co consumer operational tools as well as predictive analytics. Our solutions are used by many leading broadcasters worldwide including NFL, NHL, CHL, Big10Network, MXGP, Optus Sport & Sinclair Broadcasting Group.

Cleeng's SaaS solution is built for scalability, flexibility, robustness and innovation.Working at Cleeng is rewarding, fun and challenging. We thrive on innovation, are fast growing & generating a profitable business. Come join our team, make a real contribution, and help shape the future of video consumption.

We are looking for an experienced Data QA Engineer to join our Data Excellence team.

As a QA Data Engineer, your principal mission will be to safeguard and enhance the quality and integrity of our organization's data. You will play a pivotal role in continuously refining our data management processes and instilling a quality-focused mindset throughout the organization.

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Data Quality Assurance: Conduct rigorous testing on datasets to confirm their accuracy, consistency, and reliability. Your sharp eye will be instrumental in maintaining high data quality standards.‍

Data Analysis: Deploy your analytical prowess to examine data, detect patterns and trends, and uncover potential quality issues that need rectification.

Data Correction: Show initiative in identifying and rectifying data quality issues including, but not limited to, missing values, inconsistencies, and duplicates.

Team Collaboration: Collaborate effectively with other members of the data team, fostering a harmonious work environment that upholds data quality standards.

Process Optimization: Employ your ingenuity to devise automated processes/tooling aimed at efficiently identifying common data quality issues.

Testing Theory: Demonstrate a solid understanding of testing theory, applying this knowledge to ensure the highest data standards are maintained.

SQL Proficiency: Showcase strong SQL skills, harnessing them to ensure effective data management.

Experience with Datapool: Bring to the table your experience in working with datapool, making valuable contributions to our data management processes.

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Nice to have skills/competencies: 

Familiarity with Snowflake, Looker/LookML, DBT: While not a strict requirement, familiarity with these platforms will be viewed favorably.

Automation Experience: Previous experience with automation, especially in identifying data quality issues, will be a considerable advantage.

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