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Job Title: Senior Data Engineer Client: SalesIntel Location: Remote (India) Work Mode: Remote Experience: 6+ years CTC: 2535 LPAEducation: Bachelor's in Engineering, Computer Science, or related field Shift: 11:00 AM 8:00 PM IST Working Days: 5 days/week Notice Period: Immediate to 30 days preferred What Youll Be Doing Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system. Qualifications Bachelor's degree in Engineering, Computer Science, or relevant field.3+ years of relevant and recent experience in a Data Engineer role.3+ years recent experience with Apache Spark and solid understanding of the fundamentals.Deep understanding of Big Data concepts and distributed systems.Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.Advanced working SQL knowledge.Cloud Experience with DataBricks.Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV, and similar formats.Comfortable working in a linux shell environment and writing scripts as needed.Comfortable working in an Agile environment.Machine Learning knowledge is a plus.Must be capable of working independently and delivering stable, efficient and reliable software.Excellent written and verbal communication skills in English.Experience supporting and working with cross-functional teams in a dynamic environment.Job Requirements: Data engineer, Scala, Databrick, Python, sql, Big data technology, pyspark, synapse, Apache Spark, Delta Lake .
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.