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Job Title: Data Engineer Scala We are hiring an experienced Data Engineer with strong expertise in Scala, Apache Spark, Python, SQL, and Azure/AWS to build scalable data platforms and enterprise-grade data pipelines. Job Details Role: Data Engineer Scala Experience: 6+ Years Employment Type: C2C (Contract) Work Mode: Hybrid (Pan India) Shift: 11:00 AM 9:00 PM Key Responsibilities Design, develop, and optimize scalable batch and real-time data pipelines. Build ETL/ELT workflows using Scala, Apache Spark, Python, and SQL. Develop high-performance data processing solutions on Azure/AWS. Work with cloud-native data services for ingestion, transformation, and analytics. Monitor, troubleshoot, and improve data pipeline performance and quality. Collaborate with cross-functional teams to deliver end-to-end data engineering solutions. Participate in architecture discussions, code reviews, and CI/CD implementation. Required Skills 6+ years of Data Engineering experience. Strong hands-on experience with Scala and Apache Spark. Proficiency in Python and advanced SQL. Experience with Azure and/or AWS cloud platforms. Expertise in designing and developing ETL/ELT pipelines. Experience with Azure Data Factory (ADF), AWS Glue, or similar tools. Strong knowledge of Data Warehousing, Big Data technologies, CI/CD, and Agile methodologies. Good to Have Azure Synapse Analytics Apache Kafka / Streaming technologies Databricks, Delta Lake, or Lakehouse Architecture Data Governance and Data Quality frameworks Exposure to ML/GenAI data pipelines Compensation: 80,000.00 - 100,000.00 per month Experience Data Engineering : 6 years (Required) Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida) .
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.