Big Data Engineer jobs in Andhra Pradesh

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...

Required Skills: - 3 + Years Of an experience in Big Data Admin. - Should have hands-on Experience in Big Data Stack ,Apache Spark ,Azure Cloud: HDInsight, Fabric, ADF, Azure Compute, Storage, Networking Troubleshooting Skills

Required Skills: - 3 + Years Of an experience in Big Data Admin. - Should have hands-on Experience in Big Data Stack ,Apache Spark ,Azure Cloud: HDInsight, Fabric, ADF, Azure Compute, Storage, Networking Troubleshooting Skills

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...

Required Skills: - 3 + Years Of an experience in Big Data Admin. - Should have hands-on Experience in Big Data Stack ,Apache Spark ,Azure Cloud: HDInsight, Fabric, ADF, Azure Compute, Storage, Networking Troubleshooting Skills

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...

Required Skills: - 3 + Years Of an experience in Big Data Admin. - Should have hands-on Experience in Big Data Stack ,Apache Spark ,Azure Cloud: HDInsight, Fabric, ADF, Azure Compute, Storage, Networking Troubleshooting Skills

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...

Required Skills: - 3 + Years Of an experience in Big Data Admin. - Should have hands-on Experience in Big Data Stack ,Apache Spark ,Azure Cloud: HDInsight, Fabric, ADF, Azure Compute, Storage, Networking Troubleshooting Skills

Required Skills: - 3 + Years Of an experience in Big Data Admin. - Should have hands-on Experience in Big Data Stack ,Apache Spark ,Azure Cloud: HDInsight, Fabric, ADF, Azure Compute, Storage, Networking Troubleshooting Skills

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...

Required Skills: - 3 + Years Of an experience in Big Data Admin. - Should have hands-on Experience in Big Data Stack ,Apache Spark ,Azure Cloud: HDInsight, Fabric, ADF, Azure Compute, Storage, Networking Troubleshooting Skills

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...