14 of 14 Hadoop Jobs in the West Midlands

in SQL & Database design constructs, entity relationship modeling, dimensional modeling. • Experience in Relational and NoSQL databases (e.g., Oracle, Sybase, SQL Server, PostgreSQL, MongoDB) • Experienced in big data technologies like Hadoop & Snowflake • Prior experience of working with ETL tools or as a SQL developer. • Hands-on experience working with reporting and analytics tools such as Tableau and Python • Familiarity with More ❯

pipelines and ETL - informatica - Experience in SQL and database management systems - Knowledge of data modelling , warehousing concepts , and ETL processes - Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala. - Demonstrated analytical and problem-solving skills. - Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services - Proactive and detail More ❯

. Experience with ETL/ELT tools, APIs, and integration platforms. Deep knowledge of data modelling, warehousing, and real time analytics. Familiarity with big data technologies principals (e.g., Spark, Hadoop) and BI tools (e.g., Power BI, Tableau). Strong programming skills (e.g. SQL, Python, Java, or similar languages). Ability to exercise a substantial degree of independent professional responsibility More ❯

Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don’t tick every box. The More ❯

Deep proficiency in Python and experience with container systems (Docker, Kubernetes) Proven experience with AWS services (Lambda, S3, EMR, DynamoDB) Hands-on experience with big data technologies such as Hadoop, Spark, Snowflake, and Vertica Familiarity with CI/CD, DevOps practices, and automated testing frameworks Ability to work in agile, fast-paced environments and lead technical projects Excellent communication More ❯

both on-premise and cloud-based data systems Clear communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to More ❯

AWS S3, Snowflake, etc., involved in building next-generation finance systems. Preferred Qualifications Interest or knowledge in investment banking or financial instruments. Experience with big data concepts, such as Hadoop for Data Lake. Experience with near real-time transactional systems like Kafka. Experience in Business Process Management (BPM). About Goldman Sachs At Goldman Sachs, we dedicate our people More ❯

/machine learning libraries Background in agile software development environments Ability to estimate effort, manage dependencies, and communicate effectively with technical and non-technical stakeholders Desirable skills: Experience with Hadoop and Jenkins AWS or Azure certifications Familiarity with Java If you would like to learn more about the role, please apply through the advert and we will be in More ❯

Job summary We are seeking 3 Data Engineers to join our defence & security client on a contract basis. Key skills required for this role DV cleared, Data Engineer, ETL, Elastic Stack, Apache NiFi Important DV Cleared - Data Engineer - ELK & NiFi More ❯

data points per day and create a highly available data processing and REST services to distribute data to different consumers across PWM. Technologies used include: Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy - a data management and data governance platform Programming Languages: Java, Scala, Scripting Database Technologies: MongoDB, ElasticSearch, Cassandra, MemSQL, Sybase IQ/ASE Micro Service Technologies: REST, Spring … tech stacks SKILLS AND EXPERIENCE WE ARE LOOKING FOR Computer Science, Mathematics, Engineering or other related degree at bachelors level Java, Scala, Scripting, REST, Spring Boot, Jersey Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ/ASE 3+ years of hands-on experience on relevant technologies ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas More ❯

Job Description: The Opportunity: The Leonardo Cyber & Security Division, one of the three divisions in Leonardo UK, is a pivotal innovator, helping customers deliver and secure their digital transformation. The Cyber & Security Division is at the forefront of supplying technology More ❯

model inference for real-time and batch applications. Required qualifications to be successful in this role: 4-6 years experience in: Python, R, SQL, and data processing frameworks (Spark, Hadoop, etc.) ML & Data Engineering pipelines Python with Django and Flask, Spark, Big-Data stack - Hive, Kafka & NoSQL ML Frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Statistical More ❯

AWS S3, Snowflake, etc., involved in building next-generation finance systems. Preferred Qualifications Interest or knowledge in investment banking or financial instruments. Experience with big data concepts, such as Hadoop for Data Lake. Experience with near real-time transactional systems like Kafka. Experience in Business Process Management (BPM). About Goldman Sachs At Goldman Sachs, we dedicate our people More ❯

solving and communication skills, including the ability to convey complex concepts to non-technical stakeholders. Desirable (but not essential): Experience with SSIS, AWS or Azure Data Factory. Familiarity with Hadoop, Jenkins, or DevOps practices including CI/CD. Cloud certifications (Azure or AWS). Knowledge of additional programming languages or ETL tools. This is a fantastic opportunity to take More ❯