Showing 7,522 Data Engineer Jobs in Gurgaon Gurugram

Role- GCP Data Engineer Responsibilities: • Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/B

GCP Data Engineer Experience- 6 years to 8 years Notice period- August joiners Job Requirement: Have Implemented and Architected solutions on Google Cloud Platf

GCP Data Engineer 4+ Years Location: PAN India Experience: 4+ Years Work Mode: Remote Job Description We are looking for an experienced GCP Data Engineer with 4

Role & responsibilities 6+ years of experience in Data Engineering and developing data solutions. Strong hands-on experience with Google Cloud Platform (GCP) .

Job Summary We are looking for an experienced GCP Data Engineer with 46 years of hands-on experience in designing, developing, and maintaining cloud-based data pipelines and data solutions. The ideal candidate should have strong expertise in GCP, BigQuery, Cloud Storage, Python, Apache Airflow, Clou

Role & responsibilities Must Have - 6+ years data engineering experience - Strong programming skills in Python - Hands on experience with Big Data tech (e.g., Hadoop) and Spark - Comfort working in Agile, highly collaborative teams - Strong written and verbal communication skills Good to have - Expe

Seeking a skilled GCP Data Engineer (6-9 years experience, 4+ in GCP Data Engineering) for our Coimbatore team. You'll build and manage ETL pipelines with Apache Spark, SQL, and GCP services like Dataflow, DataProc, BigQuery, and Cloud Composer/Airflow. Drive robust data solutions on Google Cloud Platform

Notice Period : Immediate to 15 Days. Job Description : - 6+ years of overall Data Analytics and BI experience - Experience in Spark, Hive, Scala. - Build data pipelines for ETL that fetch data from variety of sources such as flat files relational databases and APIs - Python scripting with focus on

Notice Period : Immediate to 15 Days. Job Description : - 6+ years of overall Data Analytics and BI experience - Experience in Spark, Hive, Scala. - Build data pipelines for ETL that fetch data from variety of sources such as flat files relational databases and APIs - Python scripting with focus on

Key Responsibilities - Lead the development of scalable ETL/ELT pipelines and data models to process high-volume data. - Design and optimize data processing applications across platforms like Databricks, Snowflake, AWS, and Azure. - Build and manage data pipelines using Apache Airflow for orchestrat