Data Quality Engineer

Role: Senior Data Quality Engineer

Location: REMOTE

Experience: 10 Years

Job Type: Contract/W2

Duration: Long Term

Job Summary

We are looking for a Senior Data Quality Engineer to ensure our enterprise data is accurate complete and reliable. You will build data quality checks improve data pipelines and work with data and business teams to deliver trusted data for reporting and analytics.

Responsibilities

Data Quality

• Design and implement data quality frameworks and standards.
• Build automated checks for data accuracy completeness and consistency.
• Create anomaly detection and data profiling solutions.
• Define and monitor data quality metrics and SLAs.
• Add validation checkpoints throughout the data lifecycle.

Data Governance & Compliance

• Maintain metadata data dictionaries and data lineage documentation.
• Ensure compliance with GDPR CCPA HIPAA and other regulations.
• Implement security measures such as encryption masking and access controls.
• Support data governance policies and committees.

Collaboration & Leadership

• Work with data scientists analytics engineers and business teams.
• Mentor junior engineers and review code.
• Explain technical concepts to non-technical stakeholders.

Continuous Improvement

• Evaluate new tools and technologies for data quality and observability.
• Identify opportunities to improve processes and reduce technical debt.
• Lead proof-of-concept initiatives.

Required Qualifications

• Bachelors degree in Computer Science Information Systems or related field.
• 5 years of experience in Data Quality Engineering Data Governance or Data Engineering.
• Experience implementing enterprise-level data quality solutions.
• Leadership experience and mentoring skills.

Technical Skills

Programming & Data Engineering

• Strong SQL skills and query optimization.
• Python (Pandas NumPy PySpark).
• Apache Spark and Hadoop.
• Data modeling (Dimensional Modeling Data Vault 3NF).
• ETL/ELT development.

Cloud & Tools

• AWS Google Cloud Platform or Microsoft Azure.
• Snowflake Amazon Redshift or Google BigQuery.
• Data quality tools such as Great Expectations Soda Core or Monte Carlo.
• Workflow tools like Apache Airflow Prefect or Dagster.
• Data catalog tools such as DataHub OpenMetadata or Alation.
• Git and CI/CD.

Compliance Knowledge

• Understanding of GDPR and CCPA.
• Knowledge of data security and access controls.
• Experience with metadata and data lineage.

Looking forward to qualified local submissions only.

Thanks & Regards

Nikhila Gujjarlamudi

LinkedIn:

Website:

Address: 401 Ronan Way Spring Hill TN 37174