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Job Title: Data Engineer GCP / Any Cloud + Scala + Spark + SQL Experience: 512 Years Employment Type: Full-Time Location: Bangalore Job Summary Notice Period: Immediate Joiners or candidates serving a short notice period will be preferred. We are looking for an experienced Data Engineer with strong expertise in Scala, Apache Spark, SQL, and GCP (or any cloud platform) to build and scale enterprise-grade data platforms and pipelines. Key Responsibilities - Design, develop, and maintain scalable, fault-tolerant data pipelines and streaming architectures. - Build and optimize real-time and batch data processing applications using Apache Spark , Scala , and Apache Kafka . - Develop high-performance, cloud-based data engineering solutions on GCP or other cloud platforms (AWS/Azure). - Write complex SQL queries and optimize data processing workflows. - Design large-scale data architectures with a focus on performance, scalability, reliability, and security. - Collaborate with Data Scientists, Business Analysts, and cross-functional teams to deliver data-driven solutions. - Optimize existing ETL pipelines and improve system efficiency. - Drive modern data engineering practices including CI/CD, automated testing, and data quality frameworks. Mandatory Skills - Strong hands-on experience with Apache Spark (Batch & Streaming) - Strong programming expertise in Scala - Experience with Apache Kafka (Streaming, Producers/Consumers, Topic Management) - Strong SQL development and query optimization skills - Hands-on experience with Google Cloud Platform (GCP) or any major cloud platform ( AWS/Azure ) Good to Have - Experience with Data Lakes and Lakehouse Architectures (Delta Lake, Apache Iceberg, etc.) - Knowledge of Docker and Kubernetes - Experience with workflow orchestration tools such as Apache Airflow - Understanding of DevOps practices and CI/CD pipelines - Exposure to monitoring and logging tools for distributed systems Preferred Candidate Profile - 512 years of experience in Data Engineering - Strong expertise in Scala, Spark, SQL, and Cloud technologies - Experience designing enterprise-scale data platforms - Solid leadership, mentoring, and stakeholder management skills - Excellent verbal and written communication skills .
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.