Azure - Database admin

Job Description

Skillset : Azure, Database Admin Job Description : Mandatory Skills:- Database admin, performance tuning , SQL tuning , we need more of Database Admin profile rather than Data Engineeriing profiles. Specific requirements of this unique demand/role: -Monitor and fine tun e our databases, especially the SQL Server Databases (Geneva, Tender, YATO) where our customers come to gain access to their Power BI reports and visualizations -Monitor the data pipelines (standard and non-standard) and - Monitor the future AAS environment (if we choose to use it) so we are not surprised with unexpected high bills This role must be proactive (preventive) in the identification of bottle-necks and chock-holds (as opposed to corrective or reactive) as well as potential impacts resulting from growth due to data loads or changed or added features RR: The Senior Data Engineer is the one who designs and builds data foundations and end to end solutions for the Shell Business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider Business stakeholder community. A Senior Data engineer is expected to be a subject matter expert, who design build data solutions and mentor junior engineers. They are also the key drivers to convert Vison and Data Strategy for IT solutions and deliver. Key Characteristics Technology expert who constantly pursues knowledge enhancement and has inherent curiosity to understand work from multiple dimensions. Deep data focus with expertise in technology domain A skilled communicator capable of speaking to both technical developers and business managers. Respected and trusted by leaders and staff. Actively delivers the roll-out and embedding of Data Foundation initiatives in support of the key business programmers. Coordinate the change management process, incident management and problem management process. Present reports and findings to key stakeholders and be the subject matter expert on DataAnalysis Design. Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery. Contributes to community building initiatives like CoE, CoP. Mandatory skills: AWS/Azure/SAP - Master ELT - Master Data Modeling - Master Data Integration Ingestion - Skill Data Manipulation and Processing - Skill GITHUB, Action, Azure DevOps - Skill Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill