Senior Data Engineer (10-19 yrs)

DBA with Performance Tuning, SQL Tuning is mandatory

Specific requirements of this unique demand/role :

- Monitor and fine tune 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)

- 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

R&R :

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 Data Analysis &

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

Optional skills :

- Experience in project management, running a scrum team.

- Experience working with BPC, Planning.

- Exposure to working with external technical ecosystem.

- MKDocs documentation