Senior Engineer
happiestminds
Job Description
- Build Data Solutions and Pipelines: Design, build, and optimize data solutions and curated datasets to support business use cases (e.g., distribution finance, commissions, adviser performance, customer insights, management reporting), ensuring reliability, scalability, and cost efficiency.
- Operate and Support Data Pipelines: Monitor, troubleshoot, and enhance production data workflows to meet agreed SLAs, including incident management, root-cause analysis, and continuous improvement.
- Controlled Data Extracts & Reporting Enablement: Respond to ad-hoc data requests and recurring reporting needs with speed and accuracy, while promoting reusable datasets, self-service patterns, and appropriate controls for sensitive financial and customer data.
- Governance, Security & SDLC Compliance: Deliver solutions in accordance with PACS SDLC, architectural standards, and security policies. Produce required artefacts (technical specifications, data models, data dictionary, interface and mapping specs, test plans). Implement and evidence data controls including data quality checks, reconciliation where applicable, access controls, and lineage/documentation.
- Stakeholder Management: Communicate proactively with both business and technology stakeholders ? surfacing risks, dependencies, and delivery timelines; managing queries and issues through to resolution.
- Cross-Functional Delivery: Partner with agile delivery teams, data analysts, and upstream system owners to source, integrate, and model data; drive delivery from requirements through build, testing, release, and post-production support.