Showing 7,781 Azure Data Engineer Jobs in New Delhi

Data Engineer (GCP) About the Role We are looking for a highly motivated and results-driven Data Engineer who thrives on solving complex data challenges and building scalable, production-grade data platforms. You will work closely with cross-functional teams to design, develop, and optimize modern d

Hi, We are conducting Face to Face discussion on 22-Aug-26(Satuday) in Bangalore. Interested candidates please share your resume on deepawaliprab.maski@hcltech.com or directly walkin to the venue and please mention the recruiter name as Deepawali. Experience: Looking for 3+ Yrs Mandatory Skill Requi

Walk-in Drive | GCP Data Engineer | Chennai | 5+ Years Experience Altimetrik India is hiring experienced GCP Data Engineers for our Chennai location. If you are passionate about building scalable cloud data solutions and have strong hands-on expertise in the Google Cloud Platform ecosystem, we would

Hi, We are conducting Face to Face discussion on 22-Aug-26(Satuday) in Bangalore. Interested candidates please share your resume on deepawaliprab.maski@hcltech.com or directly walkin to the venue and please mention the Recruiter name as Deepawali. Experience: Looking for 3+ Yrs Mandatory Skill Requi

Experience 7+ years in data engineering with strong GCP expertise Role Summary We are seeking a Senior GCP Data Engineer to design, build, and operate scalable

GCP Data Engineer Primary Skills: GCP Dataflow, BigQuery, PySpark/Python, SQL, Cloud Storage Secondary Skills: Dataproc, Composer (Airflow), Pub/Sub, CI/CD, Dat

About Position: We are seeking a skilled GCP Data Engineer to design, develop, and support scalable cloud-native data platforms on Google Cloud Platform (GCP).

Job objectives: Data Transformation: Architect and build the "Transformation Layer" in BigQuery, turning raw data into high-quality, usable datasets for advance

Role & responsibilities Preferred candidate profile GCP +data engineer +pyspark/spark with bigquery

Roles and Responsibility Design and develop scalable data pipelines using Google Cloud Dataflow, BigQuery, and Pub/Sub. Collaborate with cross-functional teams