Qualifications And Skills

• Extensive knowledge and experience in SQL, Data Engineering, and Data Visualization (Mandatory skill).
• Proficiency in Python for effective data analysis and manipulation, with a focus on automation and performance.
• Experience with ETL processes, ensuring smooth data integration from various sources to meet the organizational needs.
• Strong understanding of Big Data Technologies to handle large and complex data sets efficiently.
• Demonstrated capability in Data Warehousing solutions to design and implement scalable and maintainable data storage.
• Expertise in Data Pipeline Development to facilitate the continuous movement and transformation of data across systems.
• Ability to solve complex data problems through analytics and algorithmic approaches in a result-oriented manner.

Roles And Responsibilities

• Design, develop, and maintain scalable data pipelines that drive insight and analysis across business processes.
• Collaborate with business stakeholders to gather requirements, analyze data needs, and make data-driven decisions.
• Ensure the reliability and efficiency of data architecture and data integration solutions.
• Identify, design, and implement internal process improvements to reduce manual work and optimize data delivery.
• Monitor and enhance performance through predictive analytics and data visualizations to amplify user experience.
• Generate and maintain accurate data documentation to ensure data integrity and consistency across platforms.
• Liaise with teams to enhance data quality and support strategic and operational decisions through data insights.
• Stay current with emerging technologies and industry trends to continually grow and apply your expertise within the organization.