Data Engineer-Azure Data Bricks - 3+ Years - Gurgaon/Noida

Functional Practices: Data Engineering, Cloud Engineer-Azure/ AWS/GCP
Job type: Permanent
Contact name: Simran Bhatia

Contact email: simran.bhatia@crescendogroup.in
Job ref: 91413
Published: 5 minutes ago

Data Engineer – Azure Databricks - 3+ Years– Gurgaon / Noida

Summary – We are looking for an experienced Data Engineer with strong expertise in the Azure data ecosystem, including Azure Databricks, Azure Data Factory (ADF), and SQL. The role involves building and maintaining scalable data pipelines, working with large datasets, and supporting analytics and business intelligence initiatives. 

Your Future Employer – IT is a company that provides data analytics and AI solutions. It offers architecture and platform modernization, data management, cloud business intelligence, marketing analytics, and advanced analytics services

Responsibilities  

Experience as per band (B1 / B2 / C1 / C2) in Data Engineering

Strong hands-on experience with Azure Databricks

Hands-on experience in Azure Data Factory (ADF)

Strong proficiency in SQL

Experience in building and maintaining data pipelines

Good understanding of data modeling and ETL processes

Ability to work with large datasets and optimize performance

Strong problem-solving and communication skills

What is in for you- 

A stimulating working environment with equal employment opportunities.

Growing of skills while working with industry leaders and top brands.

Career growth opportunities with continuous learning

Reach us: If you think this role is aligned with your career, kindly write me an email along with your updated CV on    Simran.bhatia@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, Azure Databricks, Azure Data Factory, ADF, SQL, Advanced SQL, Data Pipelines, ETL, Data Modeling, Azure Data Engineering, Cloud Data Engineer, Data Warehousing, Analytics, Hybrid Jobs, Gurgaon, Noida, Immediate Joiner, Azure Ecosystem, Big Data, Performance Optimization