18 of 18 Hadoop Jobs

related field, or in bioinformatics with a demonstrated IT expertise Experience in big data technologies and frameworks, such as Apache Spark, Hadoop or similar platforms Hands-on experience with CI/CD (GitLab CI/GitHub Actions) Familiarity with Java Familiarity with Google Cloud Platform or AWS Familiarity with ...

ability to think critically and analytically. Strong experience in documentation and data dictionaries. Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark. Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders. ...

into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code - Understanding of distributed ...

skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph ...

Redshift, or Google BigQuery Experience with performance testing for data loads Python or scripting experience for automation Exposure to Big Data technologies such as Hadoop, Spark, or Hive ISTQB or similar testing certification Industry experience within healthcare, finance, or retail Day to Day/Responsibilities : Design and develop automated ...

unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters ...

Relational databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

environments - Experience working with Cloud related technology, and optimized or designed Cloud related technology for an enterprise customer - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience with automation or working with scripting languages like Python, Java, Perl, PHP, Ruby, Bash, Shell, or equivalent - Knowledge of security ...

scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial Services ...

data migrator product and contributing to a new orchestration platform. Cloud infrastructure across AWS S3, Google Cloud Storage, and Azure. Big data stores including Hadoop and Apache Ozone. Integration with Snowflake, Databricks, and AI tooling including Claude, Gemini, and Codex. Building AI-powered applications and workflows ...

achieve in the cloud. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience ...

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Equal Opportunity Statement Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. ...

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected ...

Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray). Experience with big data technologies (e.g., Spark, Hadoop). Have constructed batch and streaming microservices exposed as REST/gRPC endpoints. Familiarity with GraphQL. We recognize that our people are our strength ...

mission-critical platform, driving architecture, performance optimisation, automation, and engineering best practice. Strong Java and distributed systems experience required. Exposure to AI, LLMs, Hadoop, Elasticsearch or Oracle would be advantageous. ...

team. Risk & Process Management: Improve workflows and manage project dependencies, blockers, and risks. Tech Collaboration: Work closely with software teams on complex Big Data (Hadoop) and Cybersecurity products. What We Need: Proven experience as a Product Owner in an Agile environment. Strong stakeholder management skills. Basic understanding of cybersecurity ...

experience with enterprise integration and data platform tooling, including Informatica (PowerCenter, DEI), IBM middleware (Sterling, Message Broker, APIC), Azure integration services (ADF, APIM), Hadoop, Databricks. Experience with Informatica, Hadoop and Databricks is required. Modernization Expertise: 5+ years leading modernization initiatives transitioning enterprise environments from batch-processing to Event ...