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We are looking for a highly skilled Lead Data Quality Engineer to drive data accuracy, consistency, and integrity across our data ecosystem.

The ideal candidate will be responsible for designing, implementing, and overseeing data quality frameworks, ensuring compliance with best practices, and collaborating with cross-functional teams to maintain high data standards.

Key Responsibilities :

- Data Quality Strategy : Develop and implement data quality frameworks, policies, and best practices to enhance data governance and integrity.

- Data Profiling & Analysis : Conduct data profiling, anomaly detection, and root cause analysis to identify and resolve data quality issues.

- Data Validation & Cleansing : Implement automated and manual data validation techniques to ensure completeness, consistency, and accuracy.

- Data Governance & Compliance : Ensure adherence to data governance principles, regulatory requirements, and industry standards.

- ETL & Data Pipelines Monitoring : Work closely with data engineering teams to maintain and enhance data pipelines with embedded quality checks.

- Automation & Testing : Develop automated data quality tests, monitoring dashboards, and alerts using SQL, Python, or other data tools.

- Collaboration & Stakeholder Management : Partner with data engineers, analysts, and business teams to establish quality metrics and ensure alignment on data quality objectives.

- Performance Monitoring & Reporting : Track and report data quality KPIs, create dashboards, and provide insights to leadership.

Required Skills & Qualifications :

- Experience : 7+ years of experience in data quality, data governance, or data engineering roles, with at least 2 years in a leadership capacity.

Technical Skills :

- Strong expertise in SQL for data querying, validation, and analysis.

- Experience with ETL processes, data pipelines, and data integration tools (Airflow, Talend, Informatica, DBT, etc.

- Proficiency in Python, PySpark, or other scripting languages for data automation.

- Hands-on experience with Data Quality and Governance tools (Collibra, Alation, Talend DQ, Great Expectations, etc.

- Knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures.

- Familiarity with Big Data technologies (Spark, Snowflake, Databricks, etc.) is a plus.

Soft Skills :

- Strong problem-solving and analytical skills.

- Excellent communication and stakeholder management abilities.

- Ability to lead and mentor a team of data engineers or analysts.

- Detail-oriented with a proactive approach to data quality management.

Preferred Skills :

- Experience in regulated industries (finance, healthcare, etc.) with data compliance knowledge (GDPR, HIPAA, etc.

- Exposure to machine learning data quality frameworks is a plus.

- Data certification (e.g, CDMP, Collibra Ranger, or similar) is a plus.

Perks :

1. Flexible Timings

2. 5 Days Working

3. Healthy Environment

4. Celebration

5. Learn and Grow

6. Build the Community

7. Medical Insurance Benefit