Description

Job Description

Key Responsibilities

• Design and implement data quality frameworks, rules, and validation checks across large datasets

• Apply machine learning and statistical techniques to detect anomalies, inconsistencies, and data gaps

• Develop automated solutions for data profiling, cleansing, and monitoring

• Build and maintain dashboards and reports to track data quality KPIs and metrics

• Write optimized SQL queries for data validation, reconciliation, and root cause analysis

• Work with big data platforms (e.g., Spark, Hadoop) to process and analyze high-volume datasets

• Collaborate with product, engineering, and data governance teams to ensure data standards and quality controls are enforced

• Perform root cause analysis and provide actionable insights to improve upstream data processes

• Contribute to data lineage, metadata, and documentation initiatives

Required Skills & Qualifications

• 3–6 years of experience in Data Science, Data Analytics, or Data Quality roles

• Strong programming skills in Python (Pandas, NumPy, data processing libraries)

• Advanced proficiency in SQL for complex data analysis and validation

• Experience working with big data technologies (Spark, Hadoop, or similar)

• Hands-on experience in machine learning / AI techniques, especially for anomaly detection or pattern recognition

• Experience with dashboarding and reporting tools (Power BI, Tableau, etc.)

• Strong understanding of data quality dimensions (accuracy, completeness, consistency, timeliness)

• Solid analytical and problem-solving skills

Preferred Qualifications

• Experience in data quality management, data governance, or data stewardship frameworks

• Familiarity with financial data or working in financial services domain

• Exposure to cloud platforms (AWS, Azure, or GCP)

• Knowledge of data pipelines, ETL processes, and workflow orchestration tools

• Experience with automation frameworks for data validation and testing

• Understanding of ML Ops or model monitoring practices

Key Skills

Education

Any Graduate