21 of 21 Hadoop Jobs

Experience with Airflow for orchestration. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Exposure to big data frameworks such as Spark, Hadoop, or Presto. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Experience supporting AI/ML data pipelines. ...

equivalent experience. Strong programming skills (Python, SQL, R, or similar). Experience with cloud data platforms (Azure, AWS, GCP) and big data technologies (Spark, Hadoop). Knowledge or experience with Denodo is an advantage. Proficiency in BI and data visualisation tools (Power BI, Tableau). Solid understanding of data ...

data security, governance, and access controls Desirable Experience Experience working within UK defence, intelligence, or national security programmes Exposure to Apache Kafka, Spark, Hadoop, or similar technologies Experience supporting data science or advanced analytics use cases Background working with classified datasets Contract Details Apply now to be part ...

cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

Methodologies: Understanding of Site Reliability Engineering (SRE) practices. Data Technologies: Knowledge of 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 ...

applying emerging ML techniques. Desirable: Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes). Exposure to big data technologies (Spark, Hadoop) and Apache tools. Knowledge of NLP, computer vision, and deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience ...

remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/ ...

Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best ...

tools such as Tableau. Having a good understanding of relational databases, warehouse design and architecture principles. Familiarity with big data frameworks (e.g., such as Hadoop, Hive, Spark). Good scripting and programming skills (e.g. familiarity with SQL, Python, Java). Strong foundation in statistical, mathematical, predictive modeling as well ...

ERwin) Solid SQL skills Knowledge of data warehousing, ETL, MDM, and BI Strong communication and stakeholder management Preferred Experience with big data tools (e.g. Hadoop, Databricks, Snowflake) Familiarity with DevOps, CI/CD, Java/Scala Knowledge of semantic data models or ontologies Background in healthcare or life sciences ...

emerging data technologies, products and delivery approaches Familiarity with cloud platforms such as Azure, AWS or GCP, alongside technologies including Databricks, Snowflake, Power BI, Hadoop, SQL and Python Experience working with delivery methodologies including Agile, SAFe and Waterfall Strong proficiency with tools such as Jira, Confluence and Planview ...

proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. Experience with distributed data/computing tools: Hadoop, Hive, MySQL, etc Additional Job Details: About Tanisha Systems, Inc. Tanisha Systems, founded in 2002 in Massachusetts- , is a leading provider of Custom Application ...

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 ...

Spring Boot Experience working with DevOps methodologies and scalable CI/CD pipelines Microservices Architecture Exposure to Big Data technologies such as: Kafka, Spark, Hadoop etc Strong understanding of clean code principles Experience working with AWS Cloud Kotlin experience (preferred ...

least one. You are a great fit for this role if you have: Strong desire to tackle hard technical problems in K8s, Hadoop + cloud and proven ability to do so with little or no direct daily supervision. Experience operating Linux systems (configure, tune, and troubleshoot both ...

New Permanent Opportunity for an eDV Cleared Data Engineer with AWS Cloud Experience for a leading National Security Consultancy in London. Up to £85,000 DoE plus bonuses Active eDV required London Location – full-time ...

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 ...

voice compliance assurance Low‐latency record matching and reconciliation engines handling billions of events Scalable data services operating across Spark, Kafka, Hive and Hadoop Production‐grade pipelines supporting regulatory evidence, audit and controls Foundations for near‐real‐time compliance signal generation across global voice platforms Key Responsibilities Design … latency Develop robust data matching and reconciliation logic across heterogeneous voice data sources Define and implement scalable data models using Hive and Hadoop ecosystems Apply software engineering best practices : version control, code reviews, testing, CI/CD and documentation Reverse‐engineer and modernise legacy batch or reporting‐oriented implementations ...

scalable ELT/ETL flows (batch and streaming) Interface between Data Analysts and Data Scientists Enrich data and load into big data environment (Apache Hadoop on Cloudera) Profil Technical education (Computer Science HTL, Computer Science Degree, Data Science etc.) Experience in data modeling (relational databases and Apache Hadoop) Know-how of core technologies such as SQL (MS SQL Server), Apache Hadoop (Kafka, NiFi, Flink, Scala and/or Java, Python) and Linux Showing interest in working with high-frequency data processing in a near-realtime environment Wir bieten State-of-the-Art Technologies We understand ...

Technical Business Analyst will work closely with stakeholders and engineering teams to support the delivery of data platform solutions, including a major migration from Hadoop to Databricks. This is a client-facing role with real ownership, acting as the bridge between business needs and technical delivery. What … background in a technical or consultancy environment would be highly beneficial Nice to have Exposure to modern data platforms such as Databricks, Snowflake or Hadoop Experience working within financial services or other regulated industries Understanding of cloud-based data environments (AWS, Azure or GCP) Salary ...

Position: Hadoop Engineer (W2) Location: Irving, Texas Duration: Contract Job ID: 176884 Job Overview: We are seeking a skilled Hadoop/HPE MapR Engineer to design, build, operate, and optimize large-scale distributed data platforms. This role focuses on supporting and enhancing HPE MapR-based Hadoop ecosystems … will be comfortable operating in a complex, production-grade environment. Responsibilities: Design, implement, and maintain large-scale distributed data platforms using HPE MapR and Hadoop technologies. Support and enhance MapR-based ecosystems to ensure system performance, scalability, and reliability. Qualifications: 5+ years of experience in software engineering, big data ...