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We are looking for immediate joiners only. Interested candidates can share their updated CV ( at resume@volgainfotech.com ) along with their notice period and current/expected compensation. Kindly provide a brief on your work with AWS, specifically AWS Glue and EMR in your email as well Job Title Senior Data Engineer Data Engineering Job Description As the Technical Lead Cloud & Data Engineering, you will be responsible for handling large, complex, multi-dimensional datasets, including structured, unstructured, and real-time data. You will develop complex data transformation ETLs and work extensively with Python, Py Spark, Apache Spark, as well as cloud services from both AWS and Azure. Additionally, you will demonstrate strong expertise in cloud services related to the data domain and have a solid understanding of On-Prem/Cloud Data warehouse databases. You will also exhibit technical leadership capabilities, leading and delivering projects independently. Experience 4+ Years Working hours 1:00 pm to 10:00 pm IST ( Mon - Fri ) Qualification A Bachelor's Degree in Computer Science, or a similar discipline (or comparable practical experience) is required. Responsibilities Handle large, complex, multi-dimensional datasets, including structured, unstructured, and real-time data. Develop complex data transformation ETLs using Python, Py Spark, and Apache Spark. Utilize cloud services from both AWS and Azure related to the data domain, demonstrating a strong understanding of their respective ecosystems. Have a solid understanding of On-Prem/Cloud Data warehouse databases and their architecture. Provide technical leadership, leading and delivering projects independently while ensuring high-quality results. Stay updated with emerging trends in data tools, analysis techniques, and data usage, understanding their potential impact. Understand the concepts and principles of data modelling and create, maintain, and update relevant data models for specific business needs. Possess knowledge of cloud data engineering tools/components/technologies from both AWS and Azure, such as AWS Glue, EMR, Azure Data Factory, etc. Have an additional advantage with knowledge of Snowflake, Dataiku, Alteryx, or similar technologies. Collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand requirements and deliver optimal data engineering solutions. Ensure the scalability, reliability, and efficiency of data pipelines and processes. Troubleshoot and resolve issues related to data engineering, performance, and scalability. Document and maintain clear and comprehensive technical specifications, design documents, and best practices. Collaborate with team members to complete tasks and achieve project objectives. Ideal Candidate Experience 3+ years A Bachelor's Degree in Computer Science, or a similar discipline (or comparable practical experience) is required. Extensive experience in handling large, complex, multi-dimensional datasets, including structured, unstructured, and real-time data. Strong experience in developing complex data transformation ETLs using Python, PySpark, and Apache Spark. In-depth understanding of cloud services from both AWS and Azure related to the data domain, such as AWS Glue, EMR, S3, Athena, Azure Data Factory, etc. Solid understanding of On-Prem/Cloud Data warehouse databases and their architecture. Demonstrated technical leadership capabilities, with the ability to lead and deliver projects independently. Up-to-date knowledge of emerging trends in data tools, analysis techniques, and data usage. Communication skills that are effective in conveying complicated design concepts. .
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.
