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About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job Title: Data Engineer Position: Data Engineer Experience: 4+ Years Work Mode: Hybrid (Capco Office) Key Responsibilities Design, develop, and optimize large-scale data processing applications using Scala, Apache Spark, and Java . Build and maintain high-performance data pipelines capable of processing 80–90 million records daily with a focus on scalability, reliability, and efficiency. Develop and integrate Native APIs and data services to support business-critical applications and analytics platforms. Collaborate with cross-functional teams to gather requirements and deliver robust data engineering solutions. Optimize Spark jobs, data workflows, and distributed computing processes to ensure high throughput and low latency. Implement best practices for data quality, monitoring, governance, and operational excellence. Troubleshoot and resolve performance bottlenecks across data processing and ingestion pipelines. Participate in code reviews and contribute to engineering standards, architecture decisions, and continuous improvement initiatives. Required Skills & Experience Strong hands-on experience in Scala , Apache Spark , and Java . Proven experience building and supporting large-scale distributed data processing systems handling tens of millions of records daily. Expertise in developing and consuming Native APIs and microservices. Strong understanding of Spark architecture, performance tuning, partitioning, caching, and optimization techniques. Experience with data modeling, ETL/ELT processes, and large-scale batch and streaming data pipelines. Solid understanding of distributed systems, concurrency, and high-volume data processing. Experience with SQL and relational/non-relational databases. Strong debugging, analytical, and problem-solving skills. Preferred Qualifications Experience working in enterprise-scale data environments within Financial Services, Payments, or FinTech domains. Exposure to cloud platforms (AWS, Azure, or GCP) and containerized deployments. Familiarity with Kafka, Airflow, Hadoop ecosystem, or similar big data technologies. Experience with CI/CD pipelines, DevOps practices, and Agile methodologies. What We're Looking For Engineers passionate about solving complex data challenges at scale. Professionals who can design highly performant systems capable of processing and transforming massive datasets efficiently. Team players who thrive in fast-paced, collaborative environments and take ownership of end-to-end delivery.
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.