Packaged/SaaS App Engineering Lead

Project Role : Packaged/SaaS App Engineering Lead

Project Role Description : Own the design and evolution of packaged or SaaS solutions, overseeing configuration, integrations, and releases. Set platform standards to ensure stability, performance, and alignment with business and vendor constraints.

Must have skills : Microsoft Azure Databricks

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and provide innovative solutions to enhance data accessibility and usability.

Roles and Responsibilities:

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

Data Manipulation and Processing

GITHUB, Action, Azure DevOps, Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift,

Minimum: 6- 8 year(s) of experience is required

Educational Qualification: 15 years full time education