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PwC brand, mid-level generalist Data Engineer in Gurgaon with broad AWS skill requirements increases candidate competition.
Specific AWS Glue/DMS, CDC, and EOD processing requirements slightly limit cross-industry transferability.
Explicit 5–8 years and mandatory AWS, SQL, Python, PySpark, and production-readiness skills raise shortlisting strictness.
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Design, build, and optimize scalable AWS-based ETL/ELT data pipelines using Glue, Step Functions, Lambda, and DMS.
Develop and ensure production readiness of data ingestion solutions with features like referential integrity, idempotency, recovery, and monitoring frameworks.
Manage high-volume end-of-day ingestion workloads ensuring scalability, throughput, and operational stability.
5–8 years total experience with minimum 3 years in relevant data engineering or data integration roles.
Expert-level SQL development and optimization skills; strong proficiency in Python and PySpark.
Hands-on experience with AWS data engineering services: Glue, Step Functions, Lambda, DMS.
Bachelor and/or Master of Engineering degree required.
Demonstrated ownership of production-grade, resilient data ingestion frameworks with strong operational focus including monitoring and runbook maintenance.
Experience with high-volume, time-sensitive data processing environments, especially EOD workloads.
Familiarity with ACID-compliant ingestion, schema evolution, CDC, and cloud-native architectures aligned to AWS.