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?
• 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.
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
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