The job involves developing and maintaining a complete data architecture across multiple application platforms, ensuring data is accessible for evaluation and optimization. The candidate must have a first degree in Business Commerce, Information Studies, or Information Technology. Experience in software engineering and technology is required, with 5-7 years of experience in building databases, warehouses, reporting, and data integration solutions. Knowledge of cloud technologies and platforms like AWS, Azure, or GCP is also required. Experience in programming languages like Python, Java, or C++ is required. For 8-10 years, the candidate should have a deep understanding of data pipelining, performance optimization, data principles, and how data fits within an organization. Knowledge of integration patterns, styles, protocols, and systems theory is also required. Experience in database programming languages, data pipeline, workflow management tools, and big data platforms like Hadoop is also required. Behavioral competencies include adopting practical approaches, articulating information, checking details, developing expertise, documenting facts, embracing change, interpreting data, managing tasks, producing output, taking action, and team working. Technical competencies include big data frameworks and tools, data engineering, data integrity, data quality, IT knowledge, and stakeholder management.
