[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Infinite Computer Solutions is seeking an experienced DataBuck Data Quality Engineer / Consultant to design, implement, and manage enterprise data quality monitoring solutions. The role focuses on data quality frameworks, automated validation, profiling, anomaly detection, data governance, reconciliation, reporting, and integration with ETL/ELT pipelines and cloud data platforms.
Responsibilities
- Implement and maintain DataBuck-based data quality frameworks and validations
- Configure and manage automated data quality checks, profiling, anomaly detection, and monitoring
- Develop and maintain business and technical data quality rules
- Perform root cause analysis on data quality issues and coordinate remediation efforts
- Integrate DataBuck with ETL/ELT pipelines, data lakes, and cloud data platforms
- Create dashboards, alerts, reports, and data quality scorecards
- Collaborate with Data Governance, Data Engineering, and Business teams to define quality KPIs
- Support data reconciliation and cross-system validation processes
- Monitor data pipelines and ensure compliance with enterprise data governance standards
- Optimize DataBuck implementations for performance and scalability
Skills
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
- 5+ years of experience in Data Quality, Data Governance, Data Engineering, or Analytics
- Hands-on experience with DataBuck implementation and administration
- Strong SQL skills with experience in relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL
- Experience working with large-scale data environments and data warehouses
- Knowledge of ETL tools such as Informatica, DataStage, Talend, SSIS, or Azure Data Factory
- Experience with cloud platforms such as Azure, AWS, or Google Cloud
- Understanding of data profiling, validation, reconciliation, observability, and anomaly detection concepts
- Strong troubleshooting and analytical skills
- Experience with Hadoop, Spark, Databricks, Snowflake, or BigQuery
- Knowledge of Data Governance frameworks and Metadata Management
- Familiarity with Python, Shell scripting, or Java
- Experience working in Agile/Scrum environments
- Data Management or Cloud certifications are a plus
Benefits
- Remote/Hybrid work arrangement
- Full-Time / Contract employment options
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