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Role Overview We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. This role involves building data pipelines, migrating legacy architecture to AI ready data & semantic layer, collaborating with stakeholders, and optimizing data workflows to support advanced analytics and business intelligence initiatives. Key Responsibilities Design, build, and maintain robust, scalable, and reliable data pipelines to support analytics, reporting, and AI/ML use casesLead the migration of legacy data architectures to modern, cloudbased, AIready data platformsDevelop and implement semantic layers to enable consistent, businessfriendly access to data for analytics and BI toolsCollaborate closely with business stakeholders, data scientists, analysts, and product teams to understand data requirements and translate them into technical solutionsEnsure data quality, integrity, security, and compliance through validation, monitoring, and governance best practicesDocument data architectures, pipelines, and best practices to support knowledge sharing and longterm maintainabilityQualifications & Core Skills (Must-Have) Bachelors / Masters degree in Economics, Statistics, Engineering or a related quantitative field from a top-tier universityAdvanced Python & Pyspark: 2+ years of hands-on experience with performance tuning and complex query optimizationHandson experience with modern data architectures such as data lakes, lakehouses, and data warehouses such as Snowflake, Databricks, BigQuery, or RedshiftSnowflake certification (SnowPro Core required; SnowPro Advanced preferred)Excellent communication skills, with the ability to explain technical concepts to nontechnical audiencesDesirable Skills (Good-to-Have) Experience supporting AI/ML pipelines and feature engineeringWorking knowledge of data visualization software such as Tableau, Power BI and LookerHands-on experience with cloud platforms: AWS, Azure, or GCP.Why Join Us EXL offers an exciting, fast-paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants and drive real world impactBeing a Data & AI-led firm, we are constantly seeking innovative interventions in our clients workflows. This role offers a unique environment to lead in the collections services domain while learning and leveraging emerging trends across the ever-evolving data and AI landscape .
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.