Hadoop Developer

Position Tittle: Hadoop AdminLocation: Charlotte-Need LocalsDuration: Long TermJob Details:Hadoop Engineer (SME) role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, Databricks, Snowflake, Talend, Greenfield, ELK, KPMG Ignite etc. Hadoop Engineer is involved in the full life cycle of an ap

Senior Software Engineer (Hadoop) who will play a critical role in data platform modernization and be responsible for developing technology solutions supporting complex business processes including transformation of data, data modelling, reporting, analytics, and workflow needs In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and

Required skill set: Linux Hadoop Hive HQL (Hive Query Language) Python Spark Pyspark Big data processing Google Cloud Platform (Google cloud platform) Responsibilities: Software resource technical skill, such as; Pyspark,Python, Scala, Java, Hadoop hive, big data processing experience. Awareness and good to have on hands-on of Cloudera Data Platform, ETL, (ok if not all ) Understanding of databases like Teradata, SQL, Hive, HBase, NoSQL, etc.. Hands-on Pyspark/Python programming exposure and Goo

Job Summary (List Format): - Lead the design and development of scalable big data applications using Python (10+ years' experience required). - Build and optimize efficient data processing pipelines with big data technologies such as Hadoop/EMR, Spark, and Hive. - Develop and maintain solutions leveraging AWS services, including Lambda, EventBridge, Step Functions, Redshift, S3, and Glue (5+ years' experience required). - Implement data transformation, manipulation, and analysis workflows, in