Data Engineer

Role Description

The Data Management Technical role involves the technical implementation and maintenance of data management solutions. This includes designing, developing, and supporting data infrastructure, ensuring data integrity, and optimizing data access. The role also requires working closely with data management consultants to translate business requirements into technical specifications.

Responsibilities

• Design, develop, and maintain data models, databases, data warehouses, data marts, and data lakes
• Develop and implement data integration and ETL processes
• Develop and implement data integration solutions using ETL/ELT tools and technologies
• Ensure data quality through data profiling, cleansing, validation, and standardization
• Optimize data performance and scalability
• Develop and maintain data models and metadata
• Develop and maintain data quality processes and tools
• Support data analysis and reporting by providing data access and support
• Develop and maintain data pipelines and data feeds
• Ensure data compliance with relevant regulations
• Collaborate with data analysts and scientists to support data-driven initiatives
• Troubleshoot data-related issues and provide technical solutions
• Monitor and optimize data management systems performance
• Stay up-to-date with data management technologies and trends
  

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field
• Proven experience in data management technical or related roles (at least 5 years – till 20 years)
• Strong technical skills in database management systems (e.g., SQL Server, Oracle, MySQL)
• Strong understanding of data management concepts, including data governance, data quality, metadata management, and data security and all other models as per DAMA standards
• Experience with data integration and ETL/ELT tools (e.g., Informatica, Talend)
• Proficiency in data modeling and design
• Knowledge of data warehousing and data lake concepts
• Knowledge of scripting languages (Python, SQL) for data manipulation and analysis
• Understanding of data quality concepts and tools
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team
• Ability to work effectively with data analysts and business users
• Possessing relevant certifications, such as CDP, CDMP, CDA, or CISA, is preferred