Job Title: DQ Technical Consultant

Primary Skills: Databricks, SQL, Data Quality Management

PAN INDIA

Exp level : 10 -15 years

We are looking for an experienced DCC, DQ Technical Consultant with solid expertise in Databricks, SQL, and Data Quality Management. The ideal candidate should have hands-on experience in data quality initiatives, data profiling, data cleansing, data harmonization, and implementing data quality solutions. Prior experience working in data quality roles is mandatory.

Key Responsibilities

- Design, develop, and implement data quality solutions using Databricks and SQL.
- Perform data profiling to assess data quality, completeness, accuracy, consistency, and integrity.
- Identify data anomalies, duplicates, inconsistencies, and data quality issues.
- Develop and execute SQL queries to validate, transform, and cleanse data.
- Implement data quality rules, validation checks, and monitoring processes.
- Perform data cleansing and data harmonization across multiple data sources.
- Analyze data quality issues and work with business and technical teams to identify root causes.
- Support data quality assessments, reporting, and continuous improvement initiatives.




- Collaborate with data engineers, business analysts, and stakeholders to ensure data meets business requirements.
- Document data quality rules, processes, findings, and remediation activities.

Required Skills and Qualifications
- Strong hands-on experience with Databricks and SQL.
- Previous working experience in Data Quality (DQ) roles is mandatory.
- Experience in data quality solutions, frameworks, and validation processes.
- Strong knowledge of data profiling and data cleansing techniques.
- Experience in data harmonization and standardization.
- Ability to write complex SQL queries for data analysis and validation.
- Knowledge of identifying and resolving data inconsistencies and anomalies.
- Strong analytical, problem-solving, and communication skills.

Preferred Skills
- Experience working with large datasets and complex data environments.
- Familiarity with data governance, metadata management, and data quality metrics.
- Knowledge of ETL/ELT processes and data integration.
- Experience with data quality dashboards, reporting, and monitoring tools.

📌 Data Quality Analyst (Karnataka)
🏢 Tekskills
📍 Karnataka