21 of 21 Hadoop Jobs

Proficient in day‐to‐day use of Python/Java/Scala. Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark. Expertise in data modeling, schema design, and data visualization tools. Experience working in GCP and/or AWS is a plus. ...

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. ...

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 ...

Methodologies: Understanding of Site Reliability Engineering (SRE) practices. Data Technologies: Proficiency in data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java ...

Methodologies: Understanding of Site Reliability Engineering (SRE) practices.* Data Technologies: Proficiency in data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure).* Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java ...

comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant You'll also work with ...

including encryption, consent management, and retention policies Familiarity with data lakes, real‐time analytics, and emerging data technologies Documentation and communication skills Experience with Hadoop, Spark, Kafka, or other big data technologies Exposure to AI/ML integration within enterprise data environments Cloud or data certifications such as Azure ...

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 ...

costs for you! Concurrently, you'll gain valuable practical work experience working within various Big Data environments such as Google Cloud and on-site Hadoop, allowing you to apply your theoretical knowledge directly into practice! Support our Data Engineers and Data Scientists in processing, managing, and analyzing our data. ...

connected, time‐series, geospatial, image, etc. Different types of database – relational; document; graph; columnar; key‐value Large scale data processing platforms, typically based on Hadoop/Spark Business intelligence/analytics products or frameworks Data analysis and data modelling requirements Experience working with cloud platforms and working with relevant ...

social benefits (e.g. UK pension schema) Strong hands-on experience working with modern Big Data technologies such as Apache Spark, Trino, Apache Kafka, Apache Hadoop, Apache HBase, Apache Nifi, Apache Airflow, Opensearch Proficiency in cloud-native technologies such as containerization and Kubernetes Strong knowledge of DevOps tools (Terraform, Ansible ...

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 ...

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 ...

experience with modeling tools such as Python, PyTorch, TensorFlow, scikit-learn etc.Hands-on experience building large-scale distributed machine learning systems such as Hadoop, Spark etc.Effective communication skills in Chinese.At JD.com, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud ...

experience with modeling tools such as Python, PyTorch, TensorFlow, scikit-learn etc. Hands-on experience building large-scale distributed machine learning systems such as Hadoop, Spark etc. Effective communication skills in Chinese. EEO At JD.com, we’re committed to building a diverse and inclusive workplace where everyone can thrive. ...

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 ...

have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA/… Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. ...

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 ...

training, and creating reusable artifacts Basic Qualifications Experience as a technical specialist in design and architecture Experience in database technologies such as SQL, NoSQL, Hadoop, Spark, Kafka, and Kinesis Experience in consulting, design and implementation of serverless distributed solutions Experience in cloud‐based solutions (AWS or equivalent), system, network … related field, or experience working with or evaluating AI systems Experience in data applications using large‐scale distributed systems such as EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. Protecting your ...