Job Location: Poona
Come be a part of something big.
Workday is embarking on our next growth adventure. As our Business Technology team continues its mission to deliver unparalleled value to our business partners and customers, we are expanding our presence in the Asia-Pacific region with a new Business Technology office in Pune, India. This new office will be an essential development center to propel the growth of our company through transformational programs for Go-To-Market and Enterprise Data Analytics teams. If you want to be a part of building something big that will drive value throughout the entire global organization, then this is the opportunity for you. You will be working on top priority initiatives that span new and existing technologies – all to deliver outstanding results and experiences for our Customers and employees.
The Enterprise Data Services organization in Business Technology takes pride in enabling data driven business outcomes to spearhead Workday’s growth through trusted data excellence, innovation and architecture thought leadership. The team is responsible for developing and supporting Data Services, Data Warehouse, Analytics, MDM, Data Quality and Advanced Analytics/ML for multiple business functions including Sales, Marketing, Services, Support and Customer Experience. We leverage leading modern cloud platforms like AWS, Reltio, Tableau, Snaplogic, MongoDB in addition to the native AWS technologies like Spark, Airflow, Redshift, Sagemaker and Kafka.
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Develop and automate high-performance data processing systems to drive Workday business growth and improve the product experience.
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Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
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Build reliable, efficient, testable, & maintainable data pipelines.
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Design, Develop and Maintain data pipelines using Metadata driven ETL Tools and Open source data processing frameworks.
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Hands-on experience with source version control, continuous integration and experience with release/change management delivery tools.
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Provide production support and resolve high priority incidents and the development coding issues.
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Work with cross functional teams to enable data insights through Data lifecycle.
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Candidate must be willing to work in shifts on rotation basis
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5+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
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Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
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Experience working with AWS data technologies like S3, EMR, Lambda, DynamoDB, Redshift etc.
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Strong experience in one or more programming languages for processing of large data sets, such as Python, Scala.
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Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.
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Experience with maintaining and supporting large-scale data warehouse and data engineering applications involving cloud based ETL
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BS/MS in computer science or equivalent is required
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Prior experience with CRM systems like SFDC is desired but not mandatory.
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Familiarity of reporting tools like Tableau or Microsoft Power BI is desired but not mandatory
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Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs
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