16 of 16 Remote/Hybrid Hadoop Jobs in the UK

Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing ...

production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments. ...

infrastructure‐as‐code. Experience across major cloud providers (AWS, Azure, or GCP). Familiarity with modern data platforms (e.g. Snowflake, Databricks, Redshift, Hadoop ecosystems). Solid understanding of data science and machine learning workflows and their infrastructure pain points. Experience with Microsoft data platforms (SQL Server, Power BI, Azure ...

Understanding of Computer Vision: Familiarity with computer vision techniques and libraries like OpenCV. Experience with Big Data Tools: Experience with big data tools like Hadoop, Spark, or Hive. Knowledge of Reinforcement Learning: Understanding of reinforcement learning techniques and algorithms. Familiarity with Robotics: Experience with robotics and robotic process automation ...

improve productivity while maintaining appropriate human oversight, governance, and solution quality. Bonus Points For Development experience using Scala or Java. Familiarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems. Experience working with sensitive data and applying data privacy regulations, including GDPR. Curiosity to explore new technologies, including ...

Life Sciences. Experience working for a software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/ ...

Scala. Strong knowledge of SQL and experience with data warehousing solutions. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark). Excellent problem-solving skills and a keen eye for detail. A collaborative spirit and a genuine passion for data! Our Client's Benefits ...

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Who You Will Be Working With ...

about you: Strong Python knowledge. Ability to read through code. Demonstrable experience collaborating with engineers. Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas ...

regulatory standards. You’ll own the codebase, drive DevOps practices with Terraform, CI/CD, Jenkins and Harness, and work with Spark/Hadoop and AWS services like Glue, S3, and Lake formation. #J-18808-Ljbffr ...

role. You will lead requirements for the Treasury Analytics Group, support FIS Quantum & TBSM, and work on a new risk/analytics platform using Hadoop, Spark, and NoSQL tools. The role reqs 5+ years of experience, Linux/Oracle/MS SQL, ITIL, and scripting with Java/Python. ...

lineage. Support Data Governance initiatives, ensuring data security, privacy and compliance standards are maintained. Work with large and complex datasets using SQL, Python, Spark, Hadoop and modern data technologies. Collaborate with technical and business stakeholders within Agile delivery environments. Support data architecture and data modelling activities across enterprise platforms. … skills and proficiency in Python or similar programming languages. Experience with ETL/ELT tools, data warehousing and automated data pipelines. Knowledge of Spark, Hadoop or similar big data technologies. Strong understanding of Data Governance principles, policies, controls and data lifecycle management. Experience working within Agile delivery environments. Familiarity ...

delivery. What We’re Looking For Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within … client environments. Bonus Points For Expertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating cloud-based ingestion and transformation frameworks. Experience delivering data engineering solutions within highly ...

delivery. What We’re Looking For Strong proficiency in Python, Scala, or Java, with hands-on experience of Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks. Experience building real-time event streaming solutions using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments. … technical solutions. Bonus Points For Expertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating ingestion and transformation frameworks within cloud-native data platforms. Experience delivering solutions within ...

Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead, by equipping them with robust data platforms. You'll ...

database systems work and how to manage them e.g Oracle, Postgresql. Does not need to be a Database Administrator. Understanding of Kubernetes, Cassandra, Hadoop, and how distributed systems work in general. Previous experience with server hardware e.g. Dell, HP, etc as well as network engineering, in production data centre ...