Data Platform and Support Engineer - Canada - Workday, Inc.

    Workday, Inc.
    Workday, Inc. Canada

    1 month ago

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    Data Platform and Support Engineer page is loaded Data Platform and Support Engineer

    Apply remote type Flex locations IND.Pune time type Full Time posted on Posted 9 Days Ago job requisition id JR 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.

    That's why we look after our people, communities and the planet while still being profitable.

    Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? 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.

    That's why we look after our people, communities and the planet while still being profitable.

    Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? 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.

    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.

    Our organization is responsible for developing and supporting Data Warehousing, Data Ingestion and Integration Services, Master Data Management (MDM), Data Quality Assurance, and the deployment of cutting-edge Advanced Analytics and Machine Learning solutions tailored to enhance multiple business sectors such as Sales, Marketing, Services, Support, and Customer Engagement.

    Our team harnesses the power of top-tier modern cloud platforms and services, including AWS, Databricks, Snowflake, Reltio, Tableau, Snaplogic, and MongoDB, complemented by a suite of AWS-native technologies like Spark, Airflow, Redshift, Sagemaker, and Kafka.

    These tools are pivotal in our drive to create robust data ecosystems that empower our business operations with precision and scalability.

    Join a pioneering organization at the forefront of technological advancement, dedicated to leveraging data-driven insights to transform industries and drive innovation.

    We are actively seeking a skilled Data Platform and Support Engineer who will play a pivotal role in ensuring the smooth functioning of our data infrastructure, enabling self-service analytics, and empowering analytical teams across the organization.

    As a Data Platform and Support Engineer, you will oversee the management of our enterprise data hub, working alongside a team of dedicated data and software engineers to build and maintain a robust data ecosystem that drives decision-making at scale for internal analytical applications.

    You will play a key role in ensuring the availability, reliability, and performance of our data infrastructure and systems.

    You will be responsible for monitoring, maintaining, and optimizing data systems, providing technical support, and implementing proactive measures to enhance data quality and integrity.

    This role requires advanced technical expertise, problem-solving skills, and a strong commitment to delivering high-quality support services.

    The team is responsible for supporting Data Services, Data Warehouse, Analytics, 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.

    Monitor the health and performance of data systems, including databases, data warehouses, and data lakes.

    Respond to data-related incidents, troubleshoot issues, and resolve them in a timely manner, including participation in on-call rotation shifts.

    Conduct root cause analysis and implement corrective actions to prevent recurrence of issues.
    Manage and optimize data infrastructure components such as servers, storage systems, and cloud services.
    Develop and implement data quality checks, validation rules, and data cleansing procedures.
    Implement security controls and compliance measures to protect sensitive data and ensure regulatory compliance.
    Design and implement data backup and recovery strategies to safeguard data against loss or corruption.
    Optimize the performance of data systems and processes by tuning queries, optimizing storage, and improving ETL pipeline efficiency.
    Maintain comprehensive documentation, runbooks, and troubleshooting guides for data systems and processes.
    Collaborate with cross-functional teams, including data engineers, data scientists, business analysts, and IT operations.
    Lead or participate in data-related projects, such as system migrations, upgrades, or expansions.
    Provide training and mentorship to junior team members, sharing knowledge and best practices to support their professional development.
    Participate in rotational shifts to provide 24/7 support coverage for data systems, including weekends and holidays as required.
    Hands-on experience with source version control, continuous integration and experience with release/change management delivery tools.

    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 (e.g. Salesforce) is desirable
    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 working with users in resolving issues
    BS/MS in computer science or equivalent is required
    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 you'll 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.

    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 you'll 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.

    If so, ask your connection at Workday about our Employee Referral process

    Join our talent community and receive the latest Workday news, content, and be first in line for new job opportunities.

    Want Information about Workday Benefits?
    If so, ask your connection at Workday about our Employee Referral process
    Are you interested in contract opportunities at Workday?
    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 you'll 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.

    About Workday
    At Workday, our employees have always been our number one Core Value.

    Our commitment to value inclusion, belonging, and equity (VIBE) and creating a brighter workday for all is the cornerstone of all we do.

    Workday is a leading provider of enterprise cloud applications for finance and human resources.

    Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies.

    Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.
    Workday is proud to be an equal opportunity workplace.

    Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.

    Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

    Workday is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process.

    If you need assistance or an accommodation due to a disability or for religious reasons, contact us at .