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 strong 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
• Solid 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 (India)
🏢 Tekskills
📍 India