Senior Principal Engineer – Data Engineering
Marsh McLennan
full-time
Posted on:
Location Type: Hybrid
Location: Pune • India
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Job Level
About the role
- Support team in implementing & driving end-to-end data quality framework and operating model using relevant DQ tools & capabilities.
- Help business in driving governance associated with data quality by enforcing policies & standards at both technical & functional level.
- Understand the data landscape, data flows and respective regulatory requirements throughout the organization, working with regions to overcome bottlenecks
- Implement strategies to improve data quality for various analytics products & platforms using methods such as:- data profiling, data cleansing, data enrichment & data validation
- Work with MMB business to understand & build data quality rules to address end-to-end business and data governance requirements
- Develop solutions for automated DQ checks & threshold alerts
- Responsible for establishing data quality metrics, data quality audits. Support with issue identification, RCA and its remediation.
- Use data profiling techniques to identify DQ issues leveraging data quality dimensions
- Providing recommendations and guidelines for periodic data quality checks and drive governance to ensure long-term data trust and delivery of meaningful analytics
- Create score cards and reporting process to support data governance councils for monitoring progress and tracking blockers.
- Track KPIs around DQ dimensions
- Support projects with end-to-end DQ rules implementation and development activities.
- Collaborate with data engineers, data analysts, and data scientists to ensure data quality across all stages of the data lifecycle
- Develop relationships with various markets (APAC, UK & Europe, Latin America, Middle East & Canada) stakeholders to drive & enforce data quality initiatives.
- Work with data stewards (business & technical) to assess and apply the latest developments in data management and standards.
- Responsible for maintenance of MMB data & its metadata.
- Bring clarity in understanding as to what data means, who owns it, where it is stored, whats its quality etc.
- Assist with data classification, data retention & disposal policies.
- Define & translate data security requirements into data policies & rules to meet data privacy requirements.
- Support stakeholders in improving data literacy and advocate data governance & data quality management adoption
Requirements
- 8+ years of hands-on experience in data profiling, DQ rules implementation, DQ issue management, Data Quality Management, DQ metrics reporting & automation activities.
- Proven experience as a Data Quality Team Lead, Data Quality Engineer or similar role
- Masters/bachelors degree in information sciences/ engineering, or equivalent
- Strong experience in any enterprise data quality and cataloging tool (Informatica, Collibra, Talend, Databricks, Dataplex Clouddq etc.) preferred
- Familiarity with AWS, Azure, or GCP and associated DQ capabilities.
- Understanding of cloud-based data storage and data pipeline architecture.
- Familiarity with languages such as SQL, Python, R etc.
- AI/ML: Basic understanding of AI/ML algorithms can help in building predictive models for data quality.
- Excellent written & verbal communication skills with demonstrated experience of working with international stakeholders.
Benefits
- Health insurance
- Flexible working arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data profilingdata quality rules implementationdata quality managementdata quality metrics reportingdata quality automationSQLPythonRAI/ML algorithmsdata cleansing
Soft Skills
communication skillsstakeholder managementcollaborationproblem-solvinggovernance advocacydata literacy improvementrelationship buildingissue identificationrecommendation developmentreporting