Role Summary
HCLTech is looking for a Python Technical Specialist – Data Analysis, SQL to support data-driven projects using Python, SQL, and data analysis. The role focuses on database management, data analysis, workflow automation, data quality, and developing technical solutions that support business requirements.
Key Responsibilities
- SQL Development: Develop and maintain SQL databases and queries for efficient data storage and retrieval.
- Data Analysis: Analyze complex datasets to identify trends, patterns, and insights that support business decisions.
- Python Automation: Develop Python scripts and programs to automate processes and optimize data workflows.
- Query Optimization: Optimize SQL queries and database operations to improve data processing efficiency.
- Data Quality: Implement data quality measures and maintain data accuracy and integrity across different systems.
- Technical Solutions: Translate technical requirements into effective data and automation solutions.
- Workflow Optimization: Identify opportunities to improve and automate existing data management and analysis processes.
- Technical Improvement: Apply current best practices in Python, SQL, and data analysis to improve existing solutions.
Key Qualifications
- SQL: Proficiency in SQL for database management, data retrieval, and query optimization.
- Python: Experience using Python for data manipulation, process automation, and data workflow development.
- Data Analysis: Strong understanding of data analysis techniques for interpreting complex datasets and identifying meaningful insights.
- Data Management: Knowledge of data quality, integrity, storage, retrieval, and workflow optimization.
- Certifications: Relevant certifications in SQL, Python, or data analysis are considered an advantage.
About HCLTech
HCLTech is a global technology company with more than 223,000 employees across 60 countries. The company delivers technology capabilities across digital, engineering, cloud, and AI while serving clients across major industries worldwide.