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Job Description: We are looking for a Azure Data Lake Engineer who is passionate about building scalable, secure, and high-performance data architectures. In this role, you will be the primary architect and developer for our Azure Data Lake ecosystem. Your expertise in Scala and Apache Spark will be critical in transforming massive raw datasets into actionable data products for our analytics Data Lake Architecture: Design and implement ADLS Gen2 storage structures (Bronze/Silver/Gold layers) ensuring optimal partitioning and security. Pipeline Development: Build and maintain complex ETL/ELT pipelines using Scala on Azure Databricks or HDInsight. Performance Tuning: Optimize Spark jobs written in Scala to ensure low latency and cost-effective compute usage. Data Orchestration: Use Azure Data Factory (ADF) to schedule and monitor end-to-end workflows. Streaming & Batch: Develop real-time data ingestion pipelines using Azure Event Hubs or Kafka integration. Governance & Security: Implement role-based access control (RBAC), encryption, and data masking using Microsoft Purview . Mandatory Skills: 7+ years overall backend development experience in production settings Primary Language: Advanced proficiency in Scala (Functional Programming, Spark APIs). Azure Big Data Stack: Expert knowledge of Azure Data Lake Storage Gen2 , Databricks, and Data Factory. Distributed Computing: Deep understanding of Apache Spark (Data Frames, Datasets, Spark SQL, and optimization techniques like Caching and Broadcast joins). SQL Mastery: Ability to write and optimize complex SQL queries for Synapse or Azure SQL. Dev Ops: Experience with Azure Dev Ops , CI/CD pipelines, and version control (Git). Data Modeling: Familiarity with Star/Snowflake schemas .
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.