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What you'll do: Experience in building and managing end-to-end analytics workloads using Microsoft Fabric, OneLake, Lakehouses, and Warehouses. Implement Direct Lake Connectivity for high-performance Power BI reporting. Experience design and develop scalable data processing engines using Azure Databricks. Leverage PySpark for complex transformations, streaming, and large-scale data wrangling. Experience in architecting multi-stage data pipelines using Azure Data Factory (ADF) and Synapse Pipelines. Focus on metadata-driven frameworks and agile orchestration to minimize hard-coding. Advanced Scripting Transformation: SQL Scripts: Write high-performance T-SQL and Spark SQL for complex business logic, data validation, and performance tuning in Synapse Dedicated/Serverless pools. Python: Develop custom Python modules for API integrations, automation scripts, and advanced data manipulation beyond standard ETL tools. Experience in Implementing the Medallion Architecture (Bronze/Silver/Gold) using Delta Lake formats to ensure ACID transactions, data lineage, and schema evolution. About You: Primary Toolset: Extensive hands-on experience with Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Expert Scripting: Python: Deep proficiency in Python and PySpark (Spark Core, Spark SQL, Structured Streaming). Advanced SQL: Expert-level SQL scripting (Window functions, CTEs, stored procedures, and query optimization). Delta Lake OneLake: Solid understanding of Delta Lake table formats and the unified storage principles of OneLake. Orchestration Patterns: Proven ability to build reusable, parameter-driven pipelines in ADF that handle diverse data sources (REST APIs, Parquet, Delta). DevOps CI/CD: Valuable to have experience with Git-based version control (Azure DevOps/GitHub) and deploying data infrastructure as code (Bicep/Terraform) Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.