Crescendo Global
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Gurugram · On-site · 5-8 Yrs · Sep 12
HR Consulting · 51 to 200 Employees · Gurgaon, India
At Crescendo Global, we're not just building a company—we're shaping a culture. A culture rooted in grit, passion, ambition, and inclusion, where every voice matters and every goal is backed by relentless dedication. We're reimagining what senior-level hiring should feel like—for both job seekers and employers—by making the experience strategic, empowering, and human. Our team is a collective of curious minds and bold thinkers, united by a shared mission: To leave a lasting impact through every connection we create. We don’t just recruit people who are great at what they do—we bring in individuals who love what they do, and who thrive in a workplace that values purpose as much as performance. This passion shines through in everything we do—it’s the energy that drives our success and the loyalty that powers our partnerships. As we proudly celebrate 11 years of excellence in 2025, Crescendo Global stands tall with over 4,100 successful placements, across 10+ functional domains and 20+ industries. Our niche recruitment expertise spans critical areas like Analytics & Technology, Sales & Marketing, Finance & Insurance, Supply Chain & Procurement, Strategy & Change, Industrial Engineering, HR, Legal, and Research. From shaping careers to transforming businesses, We’re here to make recruitment meaningful. Join us. Let’s sculpt the future, one impactful placement at a time. Toll-Free: 1800-103-3016
Hiring: Engineering
What employees say
+ Pathetic work culture ,extreme high pressure
− They make your exit very difficult
More reviews on the company profile.
Interview experience · Consultant Sales and Marketing Strategy
3 rounds: Screening round, HR round and business discussion with the Managing Director. The focus was mainly on your understanding of the sales domain and whether you are able to carry the conversation forward.
Average difficulty · India · 13 reports
More interview insightsJob description
Overview
Data Engineer | Python, PySpark, Databricks & Power BI
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.
Qualifications
- 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.
- 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.
- Exposure to cloud-based data engineering platforms.
- Understanding of data governance and data quality frameworks.
- Strong communication and stakeholder management skills.
- Opportunity 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 career growth.
- 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.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Leaf Data Engineer-10 -15 yrs- Pan India at Crescendo Global?
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- What skills matter for this Leaf Data Engineer-10 -15 yrs- Pan India role at Crescendo Global?
- This is a mid-level Leaf Data Engineer-10 -15 yrs- Pan India role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.