Job Description

Data Engineer - Analytics & Data Platforms - 4 to 5 Years - Bangalore
Summary
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure that enable analytics, reporting, and data-driven decision-making. The role requires strong hands-on expertise in SQL, Python, PowerApps, and Databricks/PySpark, along with experience working in cloud-based data environments.
Your Future Employer
A leading global information technology, consulting, and business process services organization, delivering innovative analytics and data solutions across industries.
Responsibilities
Prepare, transform, and manage data using SQL Server, Python, and PySpark
Design, develop, and maintain scalable data pipelines for structured and unstructured data
Build applications using PowerApps and integrate them within Power BI
Collaborate with data analysts, data scientists, and business teams to understand data requirements and deliver robust data solutions
Ensure data quality, governance, security, and compliance across the data platform
What is in for you-
Opportunity to work with a prestigious global brand and industry leaders.
Career growth with continuous learning and exposure to cutting-edge analytics projects.
Reach us: If you think this role is aligned with your career, kindly write me an email along with your updated CV on asawari.sharangdhar@crescendogroup.in for a confidential discussion on the role.
Disclaimer: Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging 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 in 1 week. Your patience is highly appreciated.
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Keywords
Data Engineer | SQL | Python | Databricks | PySpark | PowerApps | Power BI | Azure | ETL | Data Engineering | Analytics Platforms

Skills Required