51 to 75 of 96 Remote Hadoop Jobs

level security clearance preferred. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯

CCSP is highly desired) Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯

directed by the customer. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with Kubernetes (or vendor flavor of Kubernetes) Experience with CI/CD pipelines (e.g. Gitlab More ❯

willing/able to help open/close the workspace during regular business hours as needed Desired Skills Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes are a plus All candidates will be required to be More ❯

Framework (RMF) process Proficiency in system design and meticulous documentation Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop) Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Experience in designing enterprise APIs. Experience in RESTful web services More ❯

the legal domain. Ability to communicate with multiple stakeholders, including non-technical legal subject matter experts. Experience with big data technologies such as Spark, Hadoop, or similar. Experience conducting world-leading research, e.g. by contributions to publications at leading ML venues. Previous experience working on large-scale data processing More ❯

environments, such as Pandas, TensorFlow, and Jupyter Notebook. • Broad knowledge of the general features, capabilities, and trade-offs of common data warehouse (e.g. Apache Hadoop); workflow orchestration (e.g. Apache Beam); data extract, transform and load (ETL); and stream processing (e.g. Kafka) technologies. Hands-on experience with several of these More ❯

and statistical modeling Experience with programming languages (Python, R, SQL) Strong understanding of data visualization tools (Tableau, Power BI) Experience with big data technologies (Hadoop, Spark) Strong understanding of data mining techniques and data modeling Excellent problem-solving and communication skills More ❯

algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront More ❯

broad IT skill set, including hands-on experience with Linux, AWS, Azure, Oracle 19 (admin), Tomcat, UNIX tools, Bash/sh, SQL, Python, Hive, Hadoop/HDFS, and Spark. Work within a modern cloud DevOps environment using Azure, Git, Airflow, Kubernetes, Helm, and Terraform. Demonstrate solid knowledge of computer More ❯

broad IT skill set, including hands-on experience with Linux, AWS, Azure, Oracle 19 (admin), Tomcat, UNIX tools, Bash/sh, SQL, Python, Hive, Hadoop/HDFS, and Spark. Work within a modern cloud DevOps environment using Azure, Git, Airflow, Kubernetes, Helm, and Terraform. Demonstrate solid knowledge of computer More ❯

contractors. Skill Set & Experience: We are specifically looking for a Scala Data Engineer not an application developer. The candidate must have experience migrating from Hadoop to the Cloud using Scala . Strong experience in Data Pipeline creation is essential. Candidates should have Big Data experience . Please ensure they … similar Data Engineering role before sharing their details with us. Keywords for Search: When reviewing CVs, please look for relevant technologies such as: Spark, Hadoop, Big Data, Scala, Spark-Scala, Data Engineer, ETL, AWS (S3, EMR, Glue ETL) . Interview Process: the client will conduct an interview round that More ❯

like Tableau and Power BI. Proficiency in analytics platforms such as SAS and Python. Familiarity with Amazon Elastic File System (EFS), S3 Storage, and Hadoop Distributed File System (HDFS). Key Role Responsibilities Lead the design and development of large-scale data solutions, ensuring they meet business objectives and More ❯

visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection More ❯

visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection More ❯

Cloud-based or SaaS products and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience More ❯

Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along More ❯

be considered due to the breadth of knowledge necessary to be successful in the position. Previous experience must include integration with and configuration of: Hadoop, SQL Server Big Data Cluster, Kubernetes, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.) Previous experience must include five (5) years of hands-on experience More ❯

Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, and Sci-kit More ❯

working with open-source resources in a government computing environment Maintaining backend GIS technologies ICD 503 Big data technologies such as Accumulo , Spark, Hive, Hadoop , or ElasticSearch F amiliarity with : hybrid cloud/on-prem architecture, AWS, C2S, and OpenStack . concepts such as Data visualization; Data management, Data More ❯

working with open-source resources in a government computing environment Maintaining backend GIS technologies ICD 503 Big data technologies such as Accumulo , Spark, Hive, Hadoop , or ElasticSearch F amiliarity with : hybrid cloud/on-prem architecture, AWS, C2S, and OpenStack . concepts such as Data visualization; Data management, Data More ❯

for horizontal solutions (e.g. migrations, MLOps, observability) Ability to identify, debug bottlenecks and significantly optimize slow running data pipelines Experience migrating applications from legacy Hadoop or Data Warehouses to the cloud Databricks Data Engineering certification or willing to obtain Other nice to have skills: You bring an uncompromising Growth More ❯

design, and implementation of customers modern data platforms. The ideal candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the … SAP BW and migration of these data warehouses to modern cloud data platforms. Deep understanding and hands-on experience with big data technologies like Hadoop, HDFS, Hive, Spark and cloud data platform services. Proven track record of designing and implementing large-scale data architectures in complex environments. CICD/… practices. Excellent problem-solving, analytical, and critical-thinking skills. Strong leadership, communication, and collaboration abilities. Preferred Qualifications: Experience in data warehouse (SAP BW, Teradata, Hadoop, Oracle etc) migration to cloud data platforms. Familiarity with data visualization and BI tools (e.g., Tableau, Power BI). Experience with cloud-based data More ❯

languages such as Java. TS/SCI with Poly Desired Skills: Data Analytic development experience Agile development experience Familiarity with/interest in Apache Hadoop MapReduce Python experience AWS Lambdas experience Jira experience Confluence experience Gitlab experience Exposure or experience with NiFi Willingness/desire to work on high More ❯

changes as needed. Preferred Requirements Configuration management tools experience a plus (Puppet, Ansible, Chef, etc.) Experience with Big Data technologies is a huge plus (Hadoop, Kafka, Accumulo, Storm, Hortonworks, Cloudera). Experience with Cloud technologies a plus (AWS, Azure) Higher level clearance is desired, but not required. Can consider More ❯