51 to 75 of 190 Remote Hadoop Jobs

in Computer Science, Engineering, or a related field. • 3+ experience as a Software Engineer with a strong focus on Data work. • Strong proficiency in leading big data technologies (e.g., Hadoop, Spark, Hive). • Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills. Bonus • Experience working More ❯

with innovative ideas or examples of coding challenges or competitions. Highly desirable skills: Familiarity with Agile practices in a collaborative team environment. Exposure to big data tools, such as Hadoop and Spark for handling large-scale datasets. Experience with cloud platforms like Microsoft Azure. Benefits Comprehensive, payments industry training by in-house and industry experts. Excellent performance-based earning More ❯

RBAC, encryption) and ensure regulatory compliance (GDPR). Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Data Modelling: Designing dimensional, relational, and hierarchical data models. Scalability & Performance: Building fault-tolerant, highly available data architectures. Security & Compliance: Enforcing role-based access control (RBAC More ❯

design of data architectures that will be deployed You have experience in database technologies including writing complex queries against their (relational and non-relational) data stores (e.g. Postgres, Apache Hadoop, Elasticsearch, Graph databases), and designing the database schemas to support those queries You have a good understanding of coding best practices & design patterns and experience with code & data versioning More ❯

different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to More ❯

remote and sits Outside of IR35. Must have technologies: Experience in an ETL toolset (Talend, Pentaho, SAS DI, Informatica, etc.) Snowflake Experience in a Database (Oracle, RDS, Redshift, MySQL, Hadoop, Postgres, etc.) Experience in data modelling (Data Warehouse, Marts) Job Scheduling toolset (Job Scheduler, TWS, etc.) Programming and scripting languages (PL/SQL, SQL, Unix, Java, Python, Hive, HiveQL … Azure, GCP) ALM Tooling (Jira, Confluence, Bitbucket) CI/CD toolsets (Gitlab, Jenkins, Ansible) CVs to Nick ASAP for immediate review. Required Skills: Informatica, Hive, Data Quality Objects, CVS, Hadoop, SAS, Ansible, Bitbucket, Gitlab, PL/SQL, Data Analytics, Confluence, Unix, Power BI, Jenkins, Analytics, Programming, Oracle, JIRA, MySQL, Scheduling, Java, Python, SQL, Business. #J-18808-Ljbffr More ❯

Qualifications Experience in NLP, computer vision, time-series, or recommender systems. Knowledge of data privacy and ethical AI frameworks (e.g., GDPR compliance). Experience with big data frameworks (Spark, Hadoop). Previous experience working in highly regulated industries (e.g., finance, healthcare, public sector). What We Offer Competitive salary and performance-based bonuses. Flexible working hours and hybrid/ More ❯

stand out: Implementation experience with Machine Learning models and applications Knowledge of cloud-based Machine Learning engines (AWS, Azure, Google, etc.) Experience with large scale data processing tools (Spark, Hadoop, etc.) Ability to query and program databases (SQL, No SQL) Experience with distributed ML frameworks (TensorFlow, PyTorch, etc.) Familiarity with collaborative software tools (Git, Jira, etc.) Experience with user More ❯

and attention to detail. Excellent communication skills to translate data insights into business value Preferred Qualifications Experience with serverless architectures on AWS. Familiarity with big data technologies (e.g. Spark, Hadoop). Knowledge of data governance and compliance best practices. Background in software development or experience with APIs for data integration About You Excellent communication and teamwork skills. Ability to More ❯

years of experience in Data Warehouse solution with an emphasis on on Greenplum In depth knowledge of Greenplum’s parallel processing and integration with big data frameworks such as Hadoop Strong understanding of data warehousing concepts and analytical query design Strong understanding of Kubernetes architecture (nodes, pods, services, deployments, etc.), knowledge of Kubernetes API objects and their relationships, proficiency More ❯

development environment Experience estimating task effort and identifying dependencies Excellent communication skills Familiarity with Python and its numerical, data and machine learning libraries Favourable If You Have Experience of Hadoop and Jenkins Azure Certified AWS Certified Familiarity with Java This position is a full time, permanent role and applicants must have (or be able to acquire) SC clearance. Ad More ❯

Citi Belfast, Northern Ireland, United Kingdom Join or sign in to find your next job Join to apply for the Application Senior Support Manager - VP role at Citi Citi Belfast, Northern Ireland, United Kingdom 3 days ago Be among the More ❯

your way around complex joins and large datasets. Git - Version control is second nature. You know how to branch, commit, and collaborate cleanly. Bonus Skills (nice to have): Apache Hadoop, Spark/Docker, Kubernetes/Grafana, Prometheus, Graylog/Jenkins/Java, Scala/Shell scripting Team ️ Our Tech Stack We build with the tools we love (and we More ❯

your way around complex joins and large datasets. Git - Version control is second nature. You know how to branch, commit, and collaborate cleanly. Bonus Skills (nice to have): Apache Hadoop, Spark/Docker, Kubernetes/Grafana, Prometheus, Graylog/Jenkins/Java, Scala/Shell scripting Team ️ Our Tech Stack We build with the tools we love (and we More ❯

knowledge of machine learning algorithms 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 Qualifications Master's degree in Data Science, Computer Science, Statistics, or related field More ❯

knowledge of machine learning algorithms 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 Qualifications Master's degree in Data Science, Computer Science, Statistics, or related field More ❯

knowledge of machine learning algorithms 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 Qualifications Master's degree in Data Science, Computer Science, Statistics, or related field More ❯

supervised and unsupervised machine learning techniques (OLS, GLMs, logistic regression, KNN, SVM, decision trees, clustering, neural networks) Hands-on experience with version control (Git), Big Data, and Cloud platforms (Hadoop, Spark, AWS, GCP) is a strong asset Practical experience designing and conducting data experiments, explaining complexities simply Experience leading technical teams Comfortable speaking to large groups and mentoring others More ❯

Ability to manage multiple projects and priorities effectively. Preferred Skills: Experience with cloud-based data lake solutions (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of data governance and security best practices. Experience with ETL processes and tools. What BLN24 brings to the Game: BLN24 benefits are game changing. We like More ❯

solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills: Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of data governance and security best practices. Experience with ETL processes and tools. What BLN24 brings to the Game: BLN24 benefits are game changing. We like More ❯

really make yourapplication stand out: Implementationexperience with Machine Learning models and applications Knowledgeof cloud-based Machine Learning engines (AWS, Azure, Google, etc.) Experiencewith large scale data processing tools (Spark, Hadoop, etc.) Abilityto query and program databases (SQL, No SQL) Experiencewith distributed ML frameworks (TensorFlow, PyTorch, etc.) Familiaritywith collaborative software tools (Git, Jira, etc.) Experiencewith user interface libraries/applications More ❯

task effort and identify dependencies. Excellent communication skills. Familiarity with Python and its data, numerical, and machine learning libraries. It would be great if you also had: Experience with Hadoop and Jenkins. Azure and AWS certifications. Familiarity with Java. What we do for you: At Leidos, we are passionate about customer success, united as a team, and inspired to More ❯

R, Scala, or Java. Experience with data science tools like scikit-learn, pandas, R, or Weka. Good understanding of SQL and NoSQL databases; familiarity with big data technologies like Hadoop and Spark is a plus. Solid knowledge of statistics, including hypothesis testing, confidence intervals, and A/B testing. Understanding of statistical models and machine learning algorithms. Why Join More ❯

environments (e.g. Snowflake, AWS). 6+ years of hands-on technical leadership in building large-scale, distributed data pipelines and reporting tools using big data technologies (e.g. Spark, Kafka, Hadoop), ensuring quality, scalability, and governance. Strong expertise in balancing trade-offs within complex distributed systems, focusing on data quality, performance, reliability, availability, and security. Proficient in software engineering with More ❯

Will have some ability to work from home time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call More ❯