<p><strong>The Senior Data Engineer</strong> will build the architecture and implementation of the data platform, data pipeline and infrastructure.<br>- Responsible for the development, maintenance, improvement, cleaning, and manipulation of data in the context of the data platform.<br>- Work with data analytics teams, data scientists, and other data warehouse engineers in order to understand and aid in the implementation of enterprise data warehouse/enterprise data platform requirements, analyze performance, and troubleshoot any existing issues.<br>- Have to be an expert in ETL technologies, SQL development, and Shell Scripting, further spearheading the data and analytics database design (Logical Models and Physical Data Models), creation of master data and maintaining data flow activities.<br>- Lead as a pioneer in a data-driven organization and this role is instrumental in making this happen.<strong><br><br>Key Results Area: </strong><br>- Design and create enterprise data platform systems optimized for performance, implementing schema changes, and maintaining data architecture standards across all of the business functions<br>- Additionally tasked with designing and developing scalable ETL packages from the business source systems and the development of ETL routines/jobs in order to populate databases from sources and also to create FACTs, Aggregates and dimensions<br>- In this capacity, the Data Engineer is also responsible for enabling and running data migrations across different databases and servers in the ETL data pipelines. For example, data migration from MySQL/Oracle to SQL servers. She/He defines and implements data stores based on the system requirements and consumer requirements<br>- Strive to ensure proper data governance and quality across the Data and Analytics department and the business as a whole<br>- Work collaboratively with the entire Data and Analytics team, providing support to the entire department for its data-centric needs.<strong><br><br>Competencies &amp; Behaviors:</strong><br>- <strong>Technical:</strong> Keeps up to date with the latest trends in data and data engineering (Both on-premises and Cloud Practices)<br>- <strong>Passion for data:</strong> Belief that data and insight can grow and transform an organization<br>- <strong>Partnership:</strong> Successful professional approaches to collaboration with all stakeholders and teams<br>- <strong>Communication:</strong> Creating and promoting an enabling environment for open communication; Constructively challenging those with power and authority<br>- <strong>Governance: </strong>Work well with the Management, regardless of its composition; contribute to Management; Adhere to clear lines of responsibility and accountability<br>- <strong>Management:</strong> Create a positive and productive work environment, Model proper staff behaviour and promote inclusive practices; create a sense of shared responsibility/credit for accomplishments and shared responsibility for