Senior Azure Data Engineer - ETL/Python/Databricks (9-18 yrs)

Specific requirements of this unique demand/role : Data Bricks, Python, ETL, Data factory, Azure ADLS and Azure SQL expert, Azure Synapse.

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