Software Engineer

Responsibilities

• Own the end-to-end lifecycle of automated quality checks from design through deployment, monitoring, and iteration.
• Translate business requirements into technical data quality rules
• Full stack development for Data lake / Delta lake s Data Quality Data Observability
• Perform data profiling and auditing to identify anomalies, trends, and data quality risks.
• Intuitive Data Quality Scoring - Users can build custom business rules for their data using using human language.
• Capture a snapshot or analyze the trends in data quality e.g. Completeness, Uniqueness, Timeliness, Accuracy, and Consistency
• Timely Warnings and Issue Reporting - Users receives automatic notifications of data quality issues based on their data standards, along with insights on root cause and remediation approaches
• Collaborative Remediation - Teams have the ability to work together to remediate data issues and validate data prior to using it.
• Strong written and verbal communication skills (in English) are required to facilitate work across multiple countries and time zones.
• Good understanding of Agile Methodologies - Scrum.

Qualifications

• Bachelor s Degree in Computer Science or equivalent degree is required
• 3-5 years in data engineering, data quality engineering, analytics engineering, or a related field
• Strong programming skills in Python, Angular JS and experience building data pipelines
• Hands on experience in Pyspark
• Experience implementing automated data quality checks, testing, or monitoring frameworks
• Familiarity with data quality dimensions and how to operationalize them in code
• Comfort working with cloud data platforms, APIs, and governance/quality tooling
• Ability to translate written rules and standards into executable logic
• Exposure to AI/ML-assisted classification and human-in-the-loop systems a plus
• Strong communication skills and a collaborative, enablement-oriented mentality
• Participate in code reviews providing constructive feedback and accepting feedback on own code.
• Ability to diagnose and troubleshoot problems quickly
• Good to have : Hands-on with Databricks for unified data analytics, including Databricks Notebooks, Delta Lake, and Catalogues.
• Metadata, lineage, and governance platforms.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.