76 to 100 of 232 Hadoop Jobs

with ability to think strategically about business, product, and technical challenges in an enterprise environment - Extensive hands-on experience with data platform technologies, including at least three of: Spark, Hadoop ecosystem, orchestration frameworks, MPP databases, NoSQL, streaming technologies, data catalogs, BI and visualization tools - Proficiency in at least one programming language (e.g., Python, Java, Scala), infrastructure as code, cloud More ❯

or Tableau • Experience supporting the development of AI/ML algorithms, such as natural language processing in a production environment • Experience configuring and utilizing data management tools, such as Hadoop, MapReduce, or similar. • Ability to translate complex, technical findings into an easily understood summary in graphical, verbal, or written forms • Must have an active TS/SCI with Favorable More ❯

Experience with data analysis and visualization tools (eg, Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (eg, Hadoop, Spark) and cloud platforms (eg, AWS, GCP, Azure) is desirable More ❯

Azure Data Factory, Azure Functions, and Synapse Analytics. Proficient in Python and advanced SQL, including query tuning and optimisation. Hands-on experience with big data tools such as Spark, Hadoop, and Kafka. Familiarity with CI/CD pipelines, version control, and deployment automation. Experience using Infrastructure as Code tools like Terraform. Solid understanding of Azure-based networking and cloud More ❯

data transport, ingestion, conditioning, access, & management. Required Skills: • Extract, Transform and Load (ETL) tools and processes. • Python • AWS • SQL • APIs • Linux • Geospatial tools/data Desired Skills: • Docker • Jenkins • Hadoop/Spark • Kibana • Kafka • NiFi • ElasticSearch In addition to a competitive salary, APK Solutions offers an exceptional comprehensive benefits package to include: • 6% contribution in 401k - No match required More ❯

and mentor junior team members. Ideally, You Also Have (Preferred Qualifications): Preferred Experience: Experience supporting national security or law enforcement missions. Familiarity with big data platforms and tools (e.g., Hadoop, Spark, Elasticsearch). Knowledge of data governance, security, and data quality standards in secure environments. More ❯

and mentor junior team members. Ideally, You Also Have (Preferred Qualifications): Preferred Experience: Experience supporting national security or law enforcement missions. Familiarity with big data platforms and tools (e.g., Hadoop, Spark, Elasticsearch). Knowledge of data governance, security, and data quality standards in secure environments. More ❯

problem-solving Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be at the forefront of large-scale, cloud-first transformation efforts. You'll help shape platforms More ❯

problem-solving Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be at the forefront of large-scale, cloud-first transformation efforts. You'll help shape platforms More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

environment) Clojure or similar languages (e.g. Java or Python) Software collaboration and revision control (e.g. Git or SVN) Desired skills and experiences: ElasticSearch/Kibana Cloud computing (e.g. AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom More ❯

Experience with data science packages desired. Knowledge of various machine learning techniques (e.g., clustering, decision trees, neural networks), model evaluation, and deployment desired. Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS). Experience working with Application Lifecycle and Configuration and Knowledge Management software is highly desired. Experience with GitLab is preferred. Experience with UNIX More ❯

technology goals. Influence and negotiate with senior leaders and communicate with external parties. Qualifications: Extensive relevant experience coding in Java, Java Frameworks, Concurrency, Python Experience in building big data Hadoop distributed platforms, Microservices, Event-Driven, API (RestFul, GraphQL, Messaging, etc), Secure Design and Coding, Blueprints, Patterns, and Code Standards. Experience in CICD Pipelines and tools such as Harness, Ansible More ❯

includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - 10+ years of technical specialist, design and architecture experience - 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 10+ years of consulting, design and implementation of serverless distributed solutions experience - Australian citizen with ability to obtain security clearance. PREFERRED QUALIFICATIONS - AWS Professional level More ❯

expertise Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience of coding (ideally Python) Experience with big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc. Experience with Terraform Prior experience More ❯

relational and non-relational databases to build data solutions, such asSQL Server/Oracle, experience with relational and dimensional data structures Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop) Proficiency in infrastructure as code(IaC) using Terraform Experience withCI/CD pipelinesand related tools/frameworks Good knowledge of containers (Docker, Kubernetesetc) Experience withGCP, AWS or Azure About More ❯

BASIC QUALIFICATIONS - 7+ years of architecture/design and implementation of cloud-based solutions - 7+ years of consulting or professional services experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 5+ years of software development with object oriented language experience - Bachelor's degree, or 7+ years of professional or military experience PREFERRED QUALIFICATIONS - Experience leading More ❯

need for data governance and metadata management skills. Ability to communicate effectively with diverse stakeholders, both technical and non-technical, across different seniority levels. Desired Skills & Certifications: Experience with Hadoop technologies and integrating them into ETL (Extract, Transform, Load) data pipelines. Familiarity with Apache Tika for metadata and text extraction from various document types. Experience as a Data Layer More ❯

tools, including deployment pipelines. Understanding of AGILE software development methodologies and use of standard software development tool suites. Preferred Skills and Experience: Experience with Docker and Kubernetes Experience with Hadoop Experience with Spark Experience with Accumulo Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Experience with asynchronous messaging systems (RabbitMQ More ❯

SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big data tools (e.g. Hadoop stack) Knowledge of NLP, OCR, and Generative AI is advantageous Experience with containerisation (e.g. Docker) is beneficial Familiarity with defence or industrial sectors is a plus Benefits Package: Annual More ❯

e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯