Senior Associate Data Engineer
Workday
IND.Pune
15h ago

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 Job

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

Join our team and experience Workday!

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications.

We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day : One of our core values is fun!

About the Role

Come be a part of something big.

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 Senior Associate Data Engineer that enables self-service analytics team (Marketing, Sales, Finance and Services) to explore outliers and take actions that differentiate us from our competition.

You will work closely with other team members like solution architects, technical leads, and business analysts to understand what the business is trying to achieve, move data from source to target, and design optimal data models.

You will also be responsible for building and maintaining the data platform. This hands-on technical role demands excellent knowledge and can demonstrate best practices in the industry.

An ideal candidate will have extensive knowledge of the data warehouse and data engineering using latest tools and Open-source frameworks.

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.

Basic Qualifications

  • 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 models 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.
  • Other Qualifications

  • Bachelor’s degree or higher in Computer Science or Engineering or related.
  • 3+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
  • Experience with very large-scale data warehouses and data engineering projects.
  • Experience building analytical solutions to Sales, Finance, Product and Marketing teams.
  • Prior experience with CRM systems like SFDC is required.
  • Experience developing low latency data processing solutions like AWS Kinesis, Apache Kafka, Apache Spark Stream processing and other Data Integration tools.
  • Strong experience in one or more programming languages for processing of large data sets, such as Python, Scala.
  • Working experience with SQL and NoSQL databases. Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs.
  • Experience working with AWS Cloud Data Services like S3, EC2, EMR, Lambda, Redshift etc.
  • Ability to create enterprise 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
  • Ability to mentor, guide, and lead associate engineers in the team.
  • 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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