Data Engineer (Pune based) Job Vacancy in Workday Pune, Maharashtra – Updated today

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Full Details :
Company Name : Workday
Location : Pune, Maharashtra
Position :

Job Description : Do what you love. Love what you do.

At Workday, we help the world’s largest organizations adapt to what’s next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and we’re serious about what we do. But we like to have fun, too. We put people first, celebrate diversity, drive innovation, and do good in the communities where we live and work.
About the Team
Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Â Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
About the Role
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.
Our Enterprise Architecture and Data Services team is currently looking for a Data Engineer. The Data Engineer will be an integral member of the Data Services Team in the BT Enterprise Architecture and Data organization. This is a hands-on role which will be responsible for design, development, and implementation of data integration, data warehouse and data mart solutions using cloud technologies. An ideal candidate will have extensive knowledge of the data warehouse and data engineering using latest tools and Open source frameworks.
About the Enterprise Data Services Team:
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
Job Responsibilities:
Develop and automate high-performance data processing systems to drive Workday business growth and improve the product experience.
Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
Build reliable, efficient, testable, & maintainable data pipelines.
Design and Develop data pipelines using Metadata driven ETL Tools and Open source data processing frameworks.
Hands-on experience with source version control, continuous integration and experience with release/change management delivery tools.
Provide production support and resolve high priority incidents and the development coding issues.
Work with cross functional teams to enable data insights through Data lifecycle.
Qualifications:
6+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
Prior experience with CRM systems like SFDC is required.
Experience building analytical solutions to Sales and Marketing teams.
Experience with very large-scale data warehouse and data engineering projects
Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.
Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs
Experience working with AWS data technologies like S3, EMR, Lambda, DynamoDB, Redshift etc.
Strong experience in one or more programming languages for processing of large data sets, such as Python, Scala.
Ability to create data models, STAR schemas for data consuming.
Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
BS/MS in computer science or equivalent is required
About You
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