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Hadoop Data Engineer Location: Hyderabad Experience: 36 Years Employment Type: Full-Time Key Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines using Hadoop, Hive, HDFS, and Spark/PySparkDevelop and optimize complex SQL queries and Hive scripts for large-scale data processingWrite clean, efficient, and reusable Python code for data transformation and automationWork with structured and unstructured data across distributed storage systems (HDFS)Optimize Spark/PySpark jobs for performance, scalability, and resource efficiencyCollaborate with data analysts, data scientists, and business stakeholders to understand data requirementsEnsure data quality, consistency, and integrity across pipelinesTroubleshoot and resolve issues related to data pipeline failures, performance bottlenecks, and cluster resource managementParticipate in code reviews and follow best practices for data engineering and version controlDocument technical designs, data flows, and pipeline architecture Required Skills & Experience 36 years of hands-on experience in Data EngineeringStrong working knowledge of Hadoop ecosystem (HDFS, YARN, MapReduce concepts)Proficiency in Hive for data warehousing and query optimizationSolid experience with Spark/PySpark for distributed data processingStrong programming skills in PythonAdvanced SQL skills query optimization, joins, window functions, performance tuning Good to Have Experience with NoSQL databases (HBase, Cassandra)Familiarity with CI/CD pipelines for data engineering workflows Educational Qualification Bachelor's or Master's degree in Computer Science, Information Technology, or a related field Regards, Manvendra Singh manvendra.singh1@incedoinc.com .
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.