🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Data Engineer | Python, PySpark, Databricks & Power BI Location Gurgaon Experience 5+ Years Responsibilities - Design, develop, and optimize scalable ETL/ELT data pipelines. - Build and maintain enterprise-grade data solutions using Python, SQL, PySpark, and Databricks. - Develop interactive dashboards, reports, and visualizations using Power BI. - Work with large-scale structured and unstructured datasets across multiple business domains. - Perform data transformation, cleansing, and integration from diverse data sources. - Design and implement efficient data models and warehousing solutions. - Ensure data quality, scalability, reliability, and performance optimization. - Collaborate with business stakeholders, analysts, architects, and development teams to deliver data-driven solutions. - Support reporting, analytics, and business intelligence initiatives through robust data engineering practices. - Troubleshoot and optimize existing data pipelines and reporting environments. Requirements Must-Have Skills - 5+ years of experience in Data Engineering. - Strong proficiency in Python and SQL. - Hands-on experience with PySpark and Databricks. - Mandatory experience in Power BI Development. - Strong experience in ETL/ELT pipeline development. - Expertise in data transformation and large-scale data processing. - Experience working with structured and unstructured datasets. - Good understanding of data warehousing concepts and architectures. - Strong knowledge of data modeling and dimensional modeling principles. - Excellent analytical and problem-solving abilities. - Ability to work collaboratively with both business and technical stakeholders. Preferred Skills - Experience working in Analytics, Banking, Insurance, Healthcare, or Financial Services domains. - Exposure to cloud-based data engineering platforms. - Understanding of data governance and data quality frameworks. - Strong communication and stakeholder management skills. - Experience working in Agile delivery environments. What's in It for You - Prospect to work with one of the world's leading analytics organizations. - Exposure to global clients across multiple industries and business functions. - Work alongside highly experienced analytics consultants, data scientists, and engineers. - Structured mentorship and coaching programs to support growth opportunities. - Comprehensive learning opportunities covering advanced analytics, data engineering, and modern technologies. - Fast-paced and innovation-driven environment with strong leadership exposure. - Opportunity to work on business-critical analytics and data transformation initiatives. - Excellent career progression and long-term growth opportunities. Reach Us If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at Harleen.Kaur@crescendogroup.in Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us within 1 week. Your patience is highly appreciated. Profile Keywords Data Engineer, Data Engineering, Python, SQL, PySpark, Databricks, Power BI Developer, Power BI, ETL, ELT, Data Pipelines, Data Transformation, Big Data, Data Warehousing, Data Modeling, Dimensional Modeling, Business Intelligence, Analytics, Dashboard Development, Reporting, Data Integration, Data Visualization, Spark, Advanced SQL, Data Analytics, Data Processing, BI Developer, Analytics Consulting, EXL Analytics, Gurgaon Jobs. .
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.