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Software Development Engineer (SDE) Data Platform About the Role We are looking for a Software Development Engineer (SDE) with robust experience in large-scale data handling and backend engineering to join our growing engineering team in Kolkata. The role focuses on building scalable data pipelines, optimizing high-volume data systems, and developing reliable backend services using Python, MySQL, and Databricks. You will work closely with data engineers, product teams, and platform teams to design and maintain systems capable of processing and analyzing large datasets efficiently. Key Responsibilities Design, develop, and maintain scalable backend systems and data pipelines. Handle large-scale structured and unstructured datasets with high performance and reliability. Build data ingestion, transformation, and processing workflows using Python and Databricks. Optimize database queries, schemas, and indexing strategies in MySQL for performance at scale. Develop APIs and backend services to support internal and external applications. Collaborate with cross-functional teams to understand data requirements and system dependencies. Monitor, troubleshoot, and improve existing data infrastructure and processing jobs. Ensure code quality through testing, code reviews, and engineering best practices. Participate in architecture discussions and contribute to technical decisionmaking.Required Skills Qualifications Strong programming experience in Python. Solid understanding of large-scale data processing and distributed systems. Hands-on experience with MySQL, including query optimization and database design. Experience working with Databricks, Apache Spark, or similar big data platforms. Good understanding of ETL workflows and data engineering concepts. Familiarity with REST APIs and backend service development. Experience with cloud platforms such as AWS, Azure, or GCP is a plus. Strong problem-solving and analytical skills. Good communication and collaboration abilities. Preferred Qualifications Experience handling millions of records or real-time data pipelines. Knowledge of data warehousing and analytics platforms. Exposure to containerization and orchestration tools such as Docker or Kubernetes. Understanding of CI/CD pipelines and DevOps practices Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.