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Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops Job Scope • Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration. • Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience. • Establishing connections to source data systems such as on-prem databases, IOT devices, APIs. • Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements. • Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion. • Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project. • Deployment of pipeline artifacts from one environment to the other using Azure Devops. Skills & Experience • Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development. • Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up. • 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control. • Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python. • Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred) • Team player with good interpersonal, communication, and problem-solving skills. • Preferred to have Devops expertise. Candidates without prior experience are welcome to apply as on the job training would be provided. Working hours : 8:30am to 6pm (Monday to Friday) onsite, no hybrid option.
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.
