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Metro Gurgaon location and common Data Engineer title increase applicant competition.
Core data engineering skills are highly transferable across industries.
Explicit 8+ years requirement and mandatory data engineering stack raise filtering rigor.
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Build and maintain scalable data pipelines from 5-10+ source systems to support analytics and data products across business units.
Design, implement, and optimize ETL/ELT solutions focusing on data quality, security, performance, and cost-effectiveness using Azure Synapse, PySpark, APIs, and SQL.
Provide expert support and troubleshooting for data pipelines and collaborate with Data Science and AI teams for process improvements and automation.
Bachelor's degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field.
8+ years of data engineering experience with production-grade pipeline ownership.
Microsoft Certified: Azure Data Engineer (DP203), Fabric Data Engineer Associate, or equivalent cloud technology certification.
Proficiency in coding (PySpark preferred) and experience building data pipelines.
Experienced in managing multiple priorities and delivering scalable, high-performing data products in an enterprise environment.
Strong operational focus with hands-on skills in Azure Synapse, PySpark, and advanced data pipeline design and optimization.
Proven ability to collaborate cross-functionally to enhance data product delivery, automation, and cost optimization.