Job Description:
Develop and implement a comprehensive data and analytics practice to introduce data and analytics solutions and services.
Data Strategy: Develop and implement a data strategy aligning with organizational goals. Collaborate with stakeholders to understand data needs and devise feasible solutions.
Data Modelling: Design conceptual, logical, and physical data models. Define data standards, ensure data quality, and integrate new systems with existing warehouse structure.
Database Management: Oversee database management systems to ensure they function reliably. Optimize database performance and conduct regular system tests and validations.
ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes for efficiently moving data across systems. Ensure the ETL processes are robust and scalable and maintain data integrity.
Data Security: Implement data security and privacy measures. Develop and enforce data standards and guidelines to prevent unauthorized access or data breaches.
Collaboration: Collaborate with cross-functional teams, including software developers and analysts, to integrate data-related solutions into products and services.
Documentation: Document data architecture, including data models, data flow diagrams, data definitions, and metadata. Maintain comprehensive project documentation.
Innovation: Stay abreast of industry trends and emerging technologies, and suggest new tools and techniques to improve data management and analysis.
Managing data storage and processing using Cloudera's platform
Overseeing the configuration and management of Splunk for log analysis
Proficiency in SQL Server for database management
Familiarity with Teradata, Cloudera, or other data warehousing solutions
Oversee the collection, storage, and management of data from various sources, ensuring data integrity, accuracy, and security.
Personal Skills:
Strong leadership and people management abilities, with a track record of building and developing high-performing teams.
Strong knowledge of data management principles, data analysis techniques, and statistical methods.
Solid understanding of database systems, data warehousing, and data governance practices.
Excellent analytical and problem-solving skills, with the ability to think strategically and translate complex data into actionable recommendations.
Exceptional communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
Demonstrated business acumen and the ability to align data and analytics initiatives with organizational objectives.
Technical Skills:
• Telecom Expertise: 8+ years of data architecture/engineering experience within the telecommunications domain
• Talend Proficiency: Deep hands-on experience designing and optimizing Talend ESB/DI jobs
• Data Modelling Mastery: Strong background in 3NF, dimensional, and data vault modelling
• Big Data & Cloud: Familiarity with Hadoop/Spark ecosystems.
• Leadership Skills: Proven ability to mentor ETL/data engineering teams and present solutions to executive stakeholders
• Talend certification (or equivalent) is a plus
Education:
Bachelor’s degree in computer science or engineering preferred, or equivalent experience.
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