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Role & responsibilities Lead Data Engineer to design, develop, and maintain data pipelines and ETL workflows for processing large-scale structured and unstructured data. The ideal candidate will have expertise in Azure Data Services (Azure Data Factory, Synapse, Databricks, SQL, SSIS, and Data Lake) along with big data processing, real-time analytics, and cloud data integration and Team Leading Experience. Key Responsibilities: 1. Data Pipeline Development & ETL/ELT - Design and build scalable data pipelines using Azure Data Factory, Synapse Pipelines ,Databricks, SSIS and ADF Connectors like Salesforce. - Implement ETL/ELT workflows for structured and unstructured data processing. - Optimize data ingestion, transformation, and storage strategies. 2. Cloud Data Architecture & Integration - Develop data integration solutions for ingesting data from multiple sources (APIs, databases, streaming data). - Work with Azure Data Lake, Azure Blob Storage, and Delta Lake for data storage and processing. 3. Database Management & Optimization - Design and maintain cloud data bases (Azure Synapse, BigQuery, Cosmos DB). - Optimize SQL queries and indexing strategies for performance. - Implement data partitioning, compression, and caching for efficiency. 4. Data Governance, Security & Compliance - Ensure data quality, lineage, and governance with tools like Purview. - Implement role-based access control (RBAC), encryption, and security policies. - Ensure compliance with GDPR, HIPAA, and ISO 27001 regulations. 5. Monitoring & Performance Tuning - Use Azure Monitor, Log Analytics, and OpenTelemetry to track performance and troubleshoot data issues. - Automate data pipeline testing and validation. 6. Collaboration & Documentation - Document data models, pipeline architectures, and data workflows. Immediate joiners are preferred. .
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.