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Role : Strong Azure Databricks Engineer / Senior Data Engineer Profile1. Mandatory (Experience 1) : - Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.2. Mandatory (Experience 2) : - Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.3. Mandatory (Experience 3) : - Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.4. Mandatory (Experience 4) : - Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.5. Mandatory (Experience 5) : - Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.6. Mandatory (Experience 6) : - Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.7. Mandatory (Experience 7) : - Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.8. Mandatory (Notice Period) : - Immediate joiners or candidates who can join within 15 days.9. Mandatory (Note) : - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.Key Responsibilities : - Architect and implement scalable ETL/ELT pipelines using PySpark and Azure Databricks to process large-scale datasets efficiently.- Optimize existing data workflows and Spark jobs to improve performance, reduce latency, and minimize operational costs for client projects.- Design robust data models and storage architectures within the Azure Data Lake environment to support advanced analytics and reporting needs.- Collaborate with data architects and business analysts to define technical specifications and ensure alignment with organizational data governance standards.- Mentor junior team members and conduct code reviews to maintain high standards of software engineering and data integrity across the development lifecycle. (ref:hirist.tech) .
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.