Senior Specialist - Data Engineering

Position

Data Quality Lead Senior Data Quality Consultant

Experience

7 to 11 Years

Location

Offshore

Role Summary

We are seeking an experienced Data Quality skilled to establish implement and continuously improve enterprise Data Quality frameworks across data platforms data lakes data warehouses and reporting systems The candidate will partner with business stakeholders data owners governance teams and engineering teams to ensure that data is accurate complete consistent valid and reliable for business decisionmaking

Key Responsibilities

Data Quality Strategy Framework

Define and implement enterprise Data Quality DQ frameworks standards processes and controls

Establish Data Quality KPIs scorecards and monitoring mechanisms

Identify Critical Data Elements CDEs and prioritize DQ initiatives

Drive continuous improvement programs for data quality management

Data Profiling Assessment

Perform data profiling and analysis across source and target systems

Analyze data anomalies missing values duplicates inconsistencies and validation failures

Define data quality rules based on business requirements and governance policies

Assess profiling results and recommend remediation actions

Data Quality Monitoring Controls

Develop and implement automated DQ validation rules

Create and maintain data quality scorecards and dashboards

Monitor data quality metrics and report trends to stakeholders

Establish ing and exception management processes

Root Cause Analysis Remediation

Perform root cause and impact analysis for data quality issues

Analyze upstream and downstream impacts across source systems ETL pipelines data lakes and reporting platforms

Define corrective and preventive actions

Work with engineering teams to implement remediation solutions

Data Cleansing Standardization





Design and implement data cleansing enrichment and standardization processes

Develop reconciliation mechanisms to identify data gaps

Establish masterreference data validation standards

Ensure consistent business rule implementation across systems

Governance Stakeholder Management

Collaborate with Data Owners Data Stewards Business Analysts and Governance teams

Conduct DQ reviews and governance meetings

Drive adoption of DQ processes across business and technology teams

Support compliance audit and regulatory reporting activities

Required Technical Skills

Mandatory Skills

Data Quality Management

Data Profiling Validation

Data Quality Rule Development

Data Quality Monitoring Scorecards

Root Cause Analysis RCA

Data Cleansing Standardization

Data Reconciliation Techniques

SQL Advanced

Data Warehousing Concepts

ETLELT Processes

Data Governance Fundamentals

Reporting Analytics

Data Quality Tools Preferred

Informatica Data Quality IDQ

Informatica DQ Cloud

Microsoft Purview

Collibra DQ

Ataccama

Talend Data Quality

Great Expectations

Screening Questions

1 Describe a Data Quality framework you have implemented and the business outcomes achieved

2 How do you identify and prioritize Critical Data Elements CDEs

3 What Data Quality dimensions do you typically measure

4 Explain a complex data quality issue you resolved using root cause analysis

5 How would you validate data migrated from Azure SQL to Databricks

6 What reconciliation techniques have you used across source and target systems

7 Which DQ tools have you worked with and what was your role in implementation

8 How do you design DQ scorecards and executive dashboards

9 How do you monitor and improve data quality in Power BI reporting environments

10 How do you collaborate with Data Owners and Data Stewards to remediate data issues

Skills

Mandatory Skills : Informatica DATA Quality

📌 Senior Data Quality Consultant – Informatica Data Quality, Data Governance, SQL & Data Profiling (Pune)
🏢 LTIMindtree
📍 Pune