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Cloud Data Engineer Role Summary This job involves creating data pipelines using a configurable framework (developed using Databricks / pyspark), which are used to load data from multiple sources to Google Cloud. It also involves extensive collaboration with other team members (India USA) to follow a plan, execute workflows, ensure data load accuracy and debug in case of issues. Essential Responsibilities Design, develop, and implement robust, high-performance data pipelines using Databricks/PySpark to meet diverse data integration requirements. Understand data and its relation / significance from business perspective Leverage extensive SQL expertise for complex data manipulation, analysis, and query optimization. Experience in Google Cloud services like Dataproc, BigQuery, Airflow, etc. Create custom scripts in python / pyspark Minor development and enhancement activities as needed to handle new / custom requirements Validate data between source and target highlight issues and rerun jobs as needed Lead other developers, review their code and ensure quality optimal code is being delivered Provide regular updates on the tasks, status and risks to project manager Required Bachelors degree from a reputed university 7 to 12 years overall experience Excellent SQL / data knowledge (6+ years) in creating complex SQL queries, Stored Procedures etc. Experience in developing enterprise grade ETL applications (any tool) Experience in Google BigQuery or any cloud database Experience in Google Cloud services like Managed service for Apache Spark(Dataproc), Airflow etc. Working knowledge in Pyspark / Python Good communication and positive attitude Attitude to take ownership and drive tasks without follow-ups Good to have Experience in Big data technologies like Hadoop, Hive, etc. Knowledge in Iceberg, Starburst, DBT Knowledge in US Healthcare domain Knowledge in Agile .
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.