Sr. Software Engineer - HR Data Lake Job

2 - 5 years

4 - 7 Lacs

Posted:2 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking forward to hire Python Professionals in the following areas : : Experience required: 2-5 years. About the role The data engineer will form a part of the HR Data Lake & Data Products initiative, with a primary focus on HR data provisioning and building HR data products on Foundry for various business functions across Merck. The successful candidate will join a multinational and diverse team of HR data scientists, HR data stewards and HR data engineers working on a smooth and riskless strategy implementation for HR data analytics. The main tasks include: Building various processing pipelines in Python and PySpark for data transformation; Connecting to relevant data sources, based on agreed ingestion method (e.g. API), together with implementation of ingestion schedules; Connecting to the HR data warehouse on SAP BW to source the HR data and key HR KPIs from the single source of truth; Collaborating with the business to understand their needs, and translating the functional requirements into technical design and implementation; Providing guidance to the business, suggesting best practice and pro-actively solutioning to deliver best-in-class products, working independently and self-steered; Delivering high-quality technical documentation to support the smooth handover to run-mode teams; Driving any necessary handovers and enablement sessions after subsequent releases to production; Presenting the outcomes of work, as well as the regular status update to stakeholders on various level in HR and IT organizations. The key skills that are expected: Strong skills in Python with typical packages; Strong skills in PySpark Experience in using modern analytics and computing platforms, e.g. AWS, Foundry; Experience with HR data; Experience in writing production-quality code; Experience in delivering high-quality technical documentation; Strong communication and cooperation skills. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

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