Big Data Engineer jobs

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Job Title: GCP Big Data Engineer Experience: 5 to 8 Years Budget: 15 to 20 LPA Location: Gurgaon & Bangalore Type: Full-Time Job Description: We are seeking a seasoned GCP Data Analytics professional with extensive experience in Big Data technologies and Google Cloud Platform services to design and implement scalable data solutions Design develop and optimize data pipelines using GCP...

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! This is a great opportunity to be an integral part of a team building Qualys next generation Micro-Services based technology platform processing over a Billion transactions and terabytes of data per day, leverage open source technologies, and work on challenging and...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...

Purpose Design and develop scalable ETL pipelines, APIs, and automations for big data processing in an on-premise Hadoop/Spark/Airflow environment, focusing on real-time log enrichment and exposure via APIs for a visualization app. Take ownership of proposing and implementing solutions for data flow, performance, and integration challenges. Key Responsibilities - Architect and implement...