Sr Software Engineer - Data Processing Engine
- Workday Inc
- 7 - 12 years
- Chennai
- 4 months ago
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Job Description
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About the Team
The Data Warehouse Core team designs and develops the technology at the heart of Workday Analytics Data Warehouse for large scale analytics applications. Our mission is to enable and support efficient storage, processing and querying over tens of billions of rows within a tenant. The team has expertise in distributed systems, data processing frameworks and database internals. More specifically, the areas we work on include: - Storage and management of structured Tables
- Table DML (e.g. batch updates) and DDL operations
- Data types, query languages and operators for data transformation
- Materialization of complex query plans (Views/Materialized Views) over large base data
- Scheduling and orchestration of long running batch jobs
About the Role
As part of Workday s Prism Analytics Data Processing team, you will be responsible for building, enhancing and extending our large scale distributed data processing engines. You will work with a top-notch team to architect and build features in our distributed ingestion, transaction and query processing engines. You will be responsible for developing algorithms and techniques for supporting fast, efficient transactions and queries over large scale data, in a multi-tenanted cloud environment.
About You
You are an engineer who is passionate about software development and takes pride in your work. You think and code in terms of well defined abstractions. You enjoy coming up with novel solutions and can clearly articulate the value to stakeholders. You are excited about working as part of a team of engineers. You understand the importance of doing what is right for the customer. You have a strong interest in learning about and developing data management and distributed data processing frameworks and algorithms. You are a fast learner and enjoy learning new technical areas such as languages and frameworks. You can make all of this happen using Scala, and Java while getting exposure to Spark and related Hadoop technologies.
About You
Basic Qualifications
- 7+ years using any of the following programming languages: Java, Scala, C++, Go, or Rust
- 3+ years development experience in relevant domain areas (e.g. database internals, distributed system application, JVM performance tuning, Cloud/SaaS Services, etc.)
Other Qualifications
- Background in data warehousing, database system internals and/or distributed systems
- Expertise in distributed data processing engines or data management systems
- A strong understanding of SQL
- Knowledge of Apache Spark and Spark SQL internals
- Expertise in one or more of: Hadoop YARN, Kubernetes, MapReduce, or Mesos
Our Approach to Flexible Work
With Flex Work, we re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Are you being referred to one of our rolesIf so, ask your connection at Workday about our Employee Referral process!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Workday IncLocation(s): Chennai+ View Contact
Keyskills: Performance tuning C++ Data management Consulting Flex Data processing Scheduling Distribution system Analytics SQL
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