Description

You will drive data quality and analytical solutions across the organization.

Responsibilities

• Design, develop, and implement data quality automation processes to measure and improve data quality.
• Conduct strategic data analysis, identify insights, and develop clear data displays for stakeholders.
• Write and optimize Python scripts and applications to support data quality initiatives.
• Develop and enhance ETL processes for accurate data integration and transformation.
• Analyze large datasets to identify data quality issues and provide actionable improvement recommendations.

Required Skills

• 5+ years of relevant experience in machine learning, data quality automation, and Python Development.
• Proficiency in Python, Pandas, NumPy, PySpark, ETL, Data Quality, SQL, Machine Learning, and Data Analysis.
• Proven experience with Python libraries for data processing and analysis.
• 1-2 years hands-on experience developing GenAI systems using frameworks like LangGraph or LangChain.

Preferred Skills

• Experience with data quality tools and frameworks.
• Familiarity with data governance and data management principles.

Key Skills

Education

Any Graduate