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Job Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable productive data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Responsibilities Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS. Implement direct-to-Aurora ingestion strategies for snapshots and delta loads. Ensure referential integrity, correct processing order, idempotency, and recovery mechanisms. Build monitoring, validation, and reconciliation frameworks for production data pipelines. Manage scalability and throughput during high-volume EOD ingestion workloads. Mandatory skill sets Expert-level SQL development and performance optimization. Robust proficiency in SQL, Python, and PySpark. Hands-on experience with ETL pipelines and orchestration frameworks. Solid understanding of ACID-compliant data ingestion principles. Experience with schema evolution and CDC (Change Data Capture) patterns. Experience owning production readiness and end-to-end solution delivery. Exposure to cloud-native architectures and AWS tools such as Glue, Step Functions, Lambda, and DMS. Preferred skill sets Experience with SAP ODP or enterprise data replication technologies. Familiarity with distributed PostgreSQL systems. Exposure to event-driven architectures such as Kafka. Experience Minimum 3 years of relevant work experience, typically reflecting 5+ years in data engineering, data integration, or related roles. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.