Digital Solutions Consultant II

• Develop and implement data pipelines for ingesting and collecting data from various sources into a centralized data platform.
• Design, implement, and maintain a Data Quality Framework aligned with enterprise governance and compliance standards.
• Define, develop, and operationalize data quality rules, dimensions, and metrics in collaboration with business data owners and stewards.
• Conduct data profiling, anomaly detection, and root cause analysis to identify and resolve data quality issues.
• Implement automated monitoring, validation, and alerting within data pipelines and reporting environments.
• Manage and utilize technical metadata and lineage to ensure data traceability from source to consumption.
• Partner with data engineering teams to embed DQ controls and validation logic within AWS data workflows (e.g., S3, Glue, Redshift, Lambda).
• Leverage data governance and cataloging tools such as Collibra (or similar platforms) to manage rules, workflows, and issue tracking.
• Develop data quality dashboards and scorecards to measure KPIs and communicate progress.
• Engage with stakeholders across the business to promote data ownership and accountability.

• Degree in Computer Science and/or related fields.
• AWS Data Engineering certifications desirable.

Technical and Industry Experience :

• Independent DQ Developer with over 8+ years of experience in developing and delivering integration projects in an agile or waterfall-based project environment.
• Proven experience designing and implementing data quality frameworks in large-scale enterprise environments.
• Strong understanding of data governance, metadata management, and stewardship processes.
• Hands-on experience with data quality and cataloging tools (e.g., Collibra, AWS DQ).
• Proficiency in AWS data services (Glue, S3, Redshift, Lambda, CloudWatch) for DQ automation and integration.
• Skilled in SQL and Python for rule development, data profiling, and validation.
• Strong analytical, problem-solving, and communication skills with the ability to translate business requirements into technical solutions.
• Experience working with EPCM or project-based data domains, such as engineering, procurement, or construction project systems.
• Familiarity with data cataloging, metadata management, and workflow orchestration tools.
• Knowledge of ETL/ELT development, data modeling, and data warehouse design.
• Understanding of regulatory and compliance frameworks related to data management.
• Exposure to Agile or DevOps delivery for continuous data quality improvement.