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Mid-level popular data-engineer role in a metro with broad skill requirements increases applicant competition.
Data engineering skills and cloud tooling are broadly transferable across industries.
Explicit 3-6 years plus many mandatory Azure/Databricks and production data engineering skills enforce strict screening.
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Own end-to-end design, build, test, deployment, and support of scalable, reliable data pipelines and models for Purchasing & Sustainability stakeholders using Azure-based cloud technologies.
Translate complex business requirements into robust data solutions aligned with architectural standards and platform governance to enable high-quality reporting and insights.
Continuously improve data processes by optimizing pipeline performance, resolving production issues, and ensuring data quality and reliability.
3-6 years of experience in data engineering or related roles.
Strong experience with Azure data platform technologies including Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Azure SQL.
Proficient coding skills in Python, SQL, or Scala with proven ability to deliver production-grade data pipelines.
Work Location: Hybrid in Pune, India (Global IT Hub, Hinjewadi)
Experienced with cloud-based data engineering, primarily on Microsoft Azure, able to navigate and solve complex data problems independently.
Comfortable working in Agile environments collaborating with global cross-country teams and multiple stakeholders.
Demonstrates strong problem-solving approach focused on delivering scalable solutions and driving completion with high ownership.