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We are seeking a highly skilled Data Engineer with strong hands-on experience in Python, PySpark, Apache Spark, Kafka, and Databricks to design, build, and maintain scalable and high-performance data pipelines. The role focuses on developing robust batch and streaming data solutions for large-scale distributed data environments. Key ResponsibilitiesDesign, develop, and maintain batch and real-time data pipelines using PySpark and Apache SparkBuild and manage scalable data workflows and jobs on DatabricksDevelop and optimize Python and SQL code to process large and complex datasetsImplement Kafka-based streaming solutions for real-time data ingestion and processingPerform Spark job tuning, performance optimization, and resource managementEnsure data reliability, scalability, and efficiency across pipelinesWork closely with analytics, product, and engineering teams to support data requirementsMonitor, troubleshoot, and resolve data pipeline and performance issuesMaintain documentation for data pipelines, workflows, and processing logicRequired Experience & Qualifications510 years of experience in Data Engineering rolesStrong hands-on coding experience in Python and PySparkExtensive experience with Apache Spark and Databricks platformsHands-on experience with Kafka for streaming data processingStrong SQL skills for data transformation and validationExperience working with large-scale, distributed data systemsPreferred SkillsExperience with Delta Lake for data versioning and reliabilityExposure to cloud platforms such as AWS, Azure, or GCPExperience with workflow orchestration tools such as Airflow .
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.