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Strong employer brand, metro Gurgaon location, and broad, popular senior data engineer role increase competition.
Core data engineering skills are transferable, though ERP and industry knowledge moderately increase specialization.
Specific tech stack (PySpark, Azure, Power BI) and senior title raise filtering but no explicit years.
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Design, build, and maintain scalable data pipelines and architectures supporting global business data needs.
Ensure availability, reliability, and performance of data systems, including data modeling, ETL development, and data quality/security.
Coordinate with business and IT teams for data model design, cloud platform maintenance, and pipeline performance monitoring.
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field.
Proficiency in coding (PySpark preferred), data visualization tools (Power BI preferred), and building data pipelines.
Experience coordinating with IT and business teams on data solutions and cloud platforms (Azure preferred).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with scalable data engineering in cloud environments, specifically Azure and PySpark.
Skilled at managing multiple priorities with strong analytical and problem-solving abilities.
Able to communicate complex data concepts effectively to diverse, global teams.