Data Engineer

3 weeks ago

Bengaluru, Karnataka, India Haleon Full time

About the Role

You will be working on the latest data platform technologies, as a part of a high-performing team fully committed to employee growth and development. You will be integrating components, designing frameworks, and building reusable data solutions for Haleon's Enterprise Data & Analytics Platform. This is a hands-on development role which includes developing & delivering code through from origin to production, plus working in partnership with 3rd party development service providers to help ensure that code comes in on time, to quality and in line with the overall ecosystem being established.

Key Responsibilities

- Development : Hands on, sleeves up development and delivery expected as a matter of course.

Delivery

- Ensure project goals are achieved on time in alignment with the stakeholders' expectation.

- Ability to work on complex projects and in a distributed environment.

- Escalate when necessary and in a timely manner.

Methodology

- Incorporate agile ways of working into the delivery process utilising DABL (Discovery, Alpha, Beta, Launch).

- Individuals will work as part of product-centric delivery team(s) that will focus on delivering value independently while fully embracing integrated DevOps approaches.

Ownership

- Take ownership for the delivery/development projects and help steer until completion.

- Maintain governance that allows projects and stakeholders to manage overall project performance and manage programme risks within the global nature of some of the programmes.

Quality, Risk & Compliance

- Ensure all risk and issues associated with owned projects are recorded and managed in the appropriate Risk & Issue logs in a timely manner.

- Ensure all Risks and Issues have clear action/mitigation/contingency plans defined, with named action owners and timelines for completion.

Qualifications and Skills

Essential:

- MS/BS degree in Computer Science, Engineering, Data Science or equivalent experience, with preference on experience and proven track record.

- Data engineering experience and seasoned coder in the relevant languages : Python, SQL, Scala, etc.

- Experience with the Azure data and analytics stack: Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, Power Apps, etc.

Ideal Candidate

- The ideal candidate will have an impressive hands-on work history in an advanced, recognized, and innovative environment.

- Fully conversant with big-data processing approaches and "schema-on-read" methodologies.

Experience

- Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.

- Experience with visualization tools and their application: developing reports, dashboards and KPI scorecards.

- Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification, and user access provisioning.

Communication Skills

- The ideal candidate possesses great communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.

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