Hybrid Senior Principal Engineer – Data Engineering

at Marsh McLennan

• Job title: Senior Principal Engineer – Data Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Informatica, Python, SQL
• Location requirements: Hybrid, Pune, India

About the role

• Senior Principal Engineer managing data quality framework implementation at Mercer. Collaborating with international stakeholders and ensuring robust data governance practices.

Responsibilities

• 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