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Mid-level generalist role, Bangalore metro location, common data stack and broad requirements increase competition.
Core data engineering skills transferable but Workday ERP specialization requires domain experience.
Explicit 2-3 years requirement and mandatory Workday/Databricks skills enforce strict filters.
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Own development and maintenance of end-to-end automated, scalable data pipelines and integrations for Finance systems including Workday within the ERP team.
Manage data flows into Finance data repositories to enable accurate financial reporting and decision-making across global enterprise functions.
Act as a technical SME in data engineering, integration, and data management, applying leading design standards and methodologies.
2-3+ years of experience in data engineering and integration, specifically with Workday Studio and managing code within Workday environment.
Hands-on experience with PySpark (preferably Databricks), advanced SQL, and Hadoop technologies like Hive and Spark.
Experience building and managing data pipelines on cloud platforms (Azure or AWS).
Work Experience Required: 2-3+ years relevant to data engineering and Workday integrations; Notice period: Not explicitly mentioned in the JD.
Experienced in handling complex Finance data integrations and pipelines in a global enterprise environment, collaborating with Finance, IT, and commercial stakeholders.
Strong operational understanding of data infrastructure components (clusters, nodes, compute, storage) for pipeline performance management.
Capable of working across cross-functional teams including Platform, IT, Data Science, and Analytics to drive strategic data projects and solutions.