Job Description

Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That\'s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don\'t need to hide who you are. You can feel the energy and the passion, it\'s what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey Bring your brightest version of you and have a brighter work day here. About the Team The Workday Data Platform Engineering Organization in Business Technology needs engineers to architect and build the next generation of data platform, tooling, reusable frameworks and services in the AWS cloud. We take pride in enabling data driven business outcomes to mobilize Workday\'s growth through trusted data excellence, innovation and architecture thought leadership. The team\'s key objective is to empower data engineers, statisticians, data scientists, and various business partners by building scalable data platforms, tooling/reusable frameworks, data quality and anomaly detection framework to fuel potential, reducing decision latency using self-service architecture in cloud environments. Data platform will be the central data repository with various data domain assets of decision-making process through self-service dashboards, domain specific ad-hoc self-self-capability. Also, it will be source for ML engineering self-service business owned pipelines through configurable templates, storage for ML features and model outcomes, place for test and training the models, upstream and downstream integration layer or data source for these layers. About the Role We are looking for an engineer who is passionate about solving exciting problems by doing independent research, collaborating with data engineers, with extensive experience in delivering big data platforms and scalable data pipelines in the public cloud. You\'ll be working on platform tooling/capabilities or reusable frameworks which focus on efficiency, scalability, expandability, flexibility, all with the goal to help empower teams. As a member of the data platform team, our team will architect and craft the data platform to empower and implement data applications, including data ingestion framework, Data Observability, Data Quality, Anomaly detection, Data Lake/Data warehouse, business intelligence, APIs and reporting systems. The team will improve data platform performance and reliability, and opportunities to collaborate with industry standard innovative technology partners and authorities to improve efficiency through automation. This hands-on role focuses on implementing data platform vision, planning and carrying out the roadmap to enable platform capabilities Responsibilities Build and test Data Ingestion, transformation and data quality frameworks in Realtime and Batch Develop and test cloud data platforms - Tools and Capabilities to support teams to enable self-service capabilities. Write in Python, Java, Go or other languages to deliver a wide variety of data services Building tools to accelerate data ingestion and transformation with lineage, data security, data privacy protection. Improve data quality by using & improving internal tools/frameworks to automatically detect Data quality issues. Keep abreast of new tools, packages while consistently pushing the limit of what is possible to deliver the best solutions Willing to work across multiple time zones Understand and gain solid understanding of team\'s technology stack and instance strategy to align with software development lifecycle Owning and performing thorough, meaningful and balance reviews, tailers code review comments - useful for the receivers, continuous measurable improvement through reducing deployment bugs Contribution to the documentation, release notes, documentation reviews to guide others and improve their performance Keeping security for both data in transit and data at rest, and compliance (PII, PCI, CCPA, SOX, GDPR etc.) in mind Understanding of available resources while designing the solution, ability to reuse the resources to build scalable solution About You Basic Qualifications: 6+ years of technology industry experience Proven track record of building and supporting data algorithms and pipelines. Highly Proficient writing in Python, Go, java or Scala. Experience on any of these cloud platforms (AWS, Azure, GCP), preferred : AWS Proficient in Spark or Databricks, Redshift or BigQuery Knowledge of developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing. Highly proficient in SQL. Able to write, test, ship, and maintain clean production code within a collaborative and version-controlled codebase. Other Qualifications: Experience with DEVOps/SecOps pipelines , git and CI/CD implementations. Terraform and experience (is a plus) Knowledge with fine grained access control - ACL (is a plus) Bachelor\'s Degree or higher in Computer Science/Engineering or directly related experience #LI-ED2 Are you being referred to one of our roles If so, ask your connection at Workday about our Employee Referral process!

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