Data Quality Engineer
SIRCLO
Actively hiring 8h ago
- Full-Time
- Hybrid • Tangerang Selatan
- Negotiable
Min. 1 years of experience
No Sign Up Required!
Job Description
- Define and execute data quality test strategies for batch and (if applicable) near-real-time data pipelines.
- Build and maintain automated data quality checks across medallion layers (Bronze/Silver/Gold), including: schema validation, completeness, uniqueness, timeliness referential integrity, reconciliation, anomaly detection business-rule validations and KPI consistency checks
- Collaborate with engineering teams to implement QA gates in CI/CD for analytics code (e.g., dbt runs/tests).
- Investigate data incidents and root causes (e.g., upstream source changes, transformation logic issues), and drive prevention actions.
- Improve data observability practices: alerting, dashboards, SLAs/SLOs for data freshness and correctness.
- Document and validate data lineage (source → transformation → reporting) and ensure traceability of key metrics.
- Partner with stakeholders to define “data contracts” / acceptance criteria for datasets and reports.
- Support governance activities: dataset certification, change management, and audit readiness.
Requirements
- 3+ years in Data QA, Data Engineering QA, Analytics Engineering QA, or similar roles.
- Hands-on experience with dbt (models, tests, docs, exposures, sources; test strategy).
- Strong SQL skills and experience working with: BigQuery, relational DBs like PostgreSQL and MySQL, NoSQL systems (any common type: document, key-value, wide-column, etc.)
- Experience validating datasets in a medallion pattern (Bronze/Silver/Gold) and understanding quality expectations at each layer.
- Understanding of data lineage concepts (end-to-end traceability, impact analysis, upstream/downstream dependencies).
- Ability to communicate findings clearly and collaborate across Data/Engineering/Product/Business team.
Nice to Have
- Experience with BI/analytics tools such as Apache Superset (or similar: Looker, Metabase, Tableau, Power BI).
- Familiarity with data quality/observability tooling (e.g., Great Expectations, Soda, Monte Carlo, Bigeye, Datadog, etc.).
- Exposure to orchestration tools (e.g., Airflow) and CI/CD workflows for data pipelines.
- Knowledge of dimensional modeling and metric definitions (semantic consistency across dashboards).
- Experience with data governance practices (cataloging, documentation standards, data contracts).
💙
Tips Menjaga Diri
Perusahaan dan Lowongan di Dealls tidak meminta data pribadi, informasi rekening, atau pungutan ketika melamar. Hindari juga lowongan Google Form / Grup Telegram tanpa keabsahan yang jelas.
About SIRCLO
Learn MoreSIRCLO is the leading omnichannel commerce enabler in Indonesia. SIRCLO’s mission is to maximise the potential of people and businesses through integrated technology solutions, as a means to enable them to make a leap into the future. SIRCLO’s super ecosystem serves a wide array of stakeholders, including enterprise businesses, small and medium businesses, new retail and micro businesses, as well as millions of end consumers.
For more details about SIRCLO, visit www.sirclo.com.
Industry
Technology Services
Location
Tangerang Regency, Indonesia
Company Size
50–100 employees
Culture
Collaborative
Here, we work together to make the dream work
Respectful
Everyone should be treated with courtesy and professionalism
Innovative
We strive to constantly pursue innovation of our products and services
