JUNIOR DATA QUALITY ENGINEER We re seeking a motivated Junior Data Quality Engineer to support data integrity initiatives across our organization
You ll work alongside data engineers, analysts, and business teams to ensure high-quality, actionable datasets that drive trusted insights and decisions
Key ResponsibilitiesExecute data quality assessments and profiling to uncover anomalies and inconsistencies
Monitor datasets across pipelines, flagging, tracking, and documenting quality issues
Develop, run, and maintain validation routines or automated tests (eg, scripts or tools)
Collaborate with engineers and analysts to trace root causes and implement fixes or process improvements
Assist in defining data quality metrics, dashboards, and reporting structures
Document data quality standards, validation rules, and issue resolutions
Required Skills & QualificationsBachelor s degree in Computer Science, Engineering, Data Science, Statistics, or related field
Basic proficiency in SQL, including joins, CTEs, aggregate functions, window functions
Foundational programming experience (Python, R, or similar) for scripting validations or automations
Familiarity or willingness to learn ETL/data pipeline tools (eg, Airflow, Databricks, Talend, Great Expectations)
Strong analytical mindset, attention to detail, and ability to spot inconsistencies others may overlook
Good collaboration and written/verbal communication skills to work across technical and business teams
Preferred / Nice-to-haveFamiliarity with data warehousing concepts and cloud platforms (AWS, Azure, GCP)
Experience or exposure to data quality tools/frameworks (eg, Great Expectations, Deequ, Informatica, Talend)
Exposure to dashboard/report validation or BI tools (eg, Power BI, Tableau)
Basic understanding of data modeling, indexing, views, partitions
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Internship