26 to 50 of 55 Hadoop Jobs with Hybrid or WFH Options

solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data more »

Deep familiarity with a cloud-native, modern data engineering technology stack. Experience with data ingestion methods and tools. Experience with distributed computing frameworks (e.g., Hadoop, Spark, Hive, Presto). Experience with data orchestration tools. Experience with cloud data warehousing and core data modelling concepts. Proficiency in version control systems more »

implement data models, ETL processes, and data warehousing solutions.Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines.Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing.Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark.Database Management: Handle more »

essential: -Proven experience as an Architect and excellent knowledge of Big Data -Great understanding of Cloud e.g. Azure and or AWS -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »

Months Location - Hybrid ( 2 days a week) JD : Experience of working with Streaming & Batch technology stack – Confluent Kafka, Mongdb , Streamsets, IBM CDC, Hive, Hadoop, API, Informatica, Airflow, and other similar technologies SME level skills and experience of designing/architecting test automation solutions, ability to creatively problem solve is more »

The following skills/experience is essential: -Proven experience as a Lead Big Data Engineer with excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »

following skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellence experience across Azure -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »

scalability, and extensibility. The following skills/experience is essential: -Proven experience as an Architect and excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very more »

DynamoDB/etc.) Solid understanding of data governance principles and how to implement these across the business Knowledge of Big Data technology (Spark/Hadoop/etc.) Excellent communication skills across various levels of stakeholders Benefits: Salary available £120,000 Bonus scheme Enhanced pension contribution available Genuine opportunity to more »

or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience more »

models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »

wider function. The core skillset: Object Oriented Python for building software & APIs (they also use Trino & Kong) Experience with Airflow or other orchestration tools (Hadoop, CloudComposer, Dagster etc) Demonstrable cloud experience developing in AWS (preferable), GCP, or Azure Experience of developing real-time streaming workloads – Kafka, Kinesis, PubSub, Flink more »

essential:-Proven experience as an Architect and excellent knowledge of Big Data-Great understanding of Cloud e.g. Azure and or AWS-Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc-Excellent experience of ETL, data warehousing and handling a variety of data types-Very more »

and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa 10% per annum • DV Bonus: Circa £5,000 • Flex Fund: £5000 • Health: Private more »

JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery more »

extensibility.The following skills/experience is essential:-Proven experience as a Lead Big Data Engineer with excellent knowledge of Big Data-Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc-Excellent experience of ETL, data warehousing and handling a variety of data types-Very more »

following skills/experience is essential:-Proven experience as an Architect and excellent knowledge of Big Data-Excellence experience across Azure-Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc-Excellent experience of ETL, data warehousing and handling a variety of data types-Very more »

management, scalability, and extensibility.The following skills/experience is essential:-Proven experience as an Architect and excellent knowledge of Big Data-Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc-Excellent experience of ETL, data warehousing and handling a variety of data types-Very more »

warehousing. Min 7yrs with Python Big Data & Data lake solutions; PostgreSQL, Clickhouse or SnowFlake etc Cloud Infrasutcurre (AWS services) Data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper Hands-on team leadership The Reward Joining a fast-growth, successful blockchain business. The role offers fully remote work, a more »

of security principles and best practices for cloud-based solutions. Preferred Skills: Certification in cloud platforms. Experience with big data technologies such as Apache Hadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). HSBC experience is more »

experience applying ML models Python, SQL or R Any cloud data platforms would be great - AWS, Azure or GCP Any big data technologies like Hadoop would be great Strong communication and stakeholder engagement What’s on offer to you? 💰 £85-95k Bonus of up to 10% Flexible working more »

Scala Data Engineer (Cloudera, Hadoop and CI/CD) - Banking Client - Brussels Duration: 1 year freelance contract Rate: €500 - €800 per day Hybrid working INSIDE OF IR35 You will join the AIR (Analytics, Insight and Reporting tribe) in GDC division. You will be join our dedicated in-house team … and frameworks . You ideally have knowledge of English , knowledge of other European languages is a plus Nice to haves You know that Cloudera, Hadoop and CI/CD aren't popular video games. You have heard of tools like Apache Spark, Impala and/or Kafka. You have more »

and at least 2 years of experience in quantitative or computational functions. Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data Deep knowledge of SQL Deep knowledge of open source data science and more »

of security principles and best practices for cloud-based solutions. Preferred Skills : Certification in cloud platforms. Experience with big data technologies such as Apache Hadoop, Spark, or Kafka. Knowledge of data governance and compliance frameworks. Familiarity with DevOps practices and tools (e.g., Git, Jenkins, Terraform). All profiles will more »

e.g., PostgreSQL), NoSQL databases (e.g., MongoDB), and implement data streaming solutions (e.g., Kafka) for efficient data handling. Work with big data technologies such as Hadoop to manage and analyse large datasets. Implement security best practices and ensure compliance with cybersecurity standards. Collaborate with development teams to integrate security practices … Familiarity with SQL and database management systems, including relational and NoSQL databases. Knowledge of data streaming technologies (e.g., Kafka) and big data platforms (e.g., Hadoop). Understanding of cybersecurity principles and best practices. Familiarity with architectural styles and experience in implementing DevSecOps practices. Excellent problem-solving skills and attention more »