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We are looking for a Tech Lead expertise in Advanced Big Data Technology Stack. The person should be a hands-on technical expert in building and deploying applications using Big Data technologies. The person should have progressive experience in building highly scalable distributed systems. The person should have the ability to build a high-performance strong technical team that adheres to the strong quality standard of application development. Roles and responsibilities With over 7 yrs. of hands-on experience with Data Technologies Requirement analysis and assess the technical feasibility of proposed solutions. Act as the technical specialist in designing and recommending architecture for application development/feature development Working on designing the application architecture and estimating effort in delivering features for new requirements Implement data ingestion and transform pipeline for analytics and Dashboard reporting for business Work in designing large-scale distributed computing applications using tools like Spark, Kafka, Hive, etc. Performing validations, reconciliation, and consolidations for the imported data, Data migration, and data generation. Effectively communicate with the Engineering Managers and Stakeholders to set the right expectations. Technical Skills Minimum 5 years of progressive experience building solutions in Big Data environments Have a strong ability to build robust and resilient data pipelines that are scalable, fault-tolerant, and reliable in terms of data movement Hands-on experience of Apache Spark with Python for batch and stream processing Should know experience in batch and stream data processing Exposure to working on projects across multiple domains Hands-on experience in Apache Kafka Strong hands-on capabilities in SQL and NoSQL technologies Hands-on experience with AWS services like S3, DMS, Redshift, Glue, Lambda, Kinesis, MSK, etc. is must have or similar services of either Azure/GCP Strong analytical/quantitative skills and comfortable working with very large sets of data. Excellent written and verbal communication skills Role: Data Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate
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.