5 of 5 Permanent Hadoop Jobs in the Thames Valley

automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as hadoop, spark, or kafka is a plus. 5. Familiarity with scripting languages like python, java, or shell scripting. 6. Excellent analytical and problem-solving skills with a keen attention to More ❯

Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance More ❯

at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯

Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯

and business stakeholders to understand data requirements. Optimize data workflows for performance and reliability. Ensure data quality, integrity, and security across systems. Work with large datasets using tools like Hadoop, Spark, and SAS. Integrate data from various sources including IBM Mainframe systems. Troubleshoot and resolve data-related issues efficiently. Required Skills & Experience:- Proven experience as a Data Engineer with … a strong foundation in data analysis. Expert-level proficiency in SAS for data manipulation and reporting. Working knowledge of IBM Mainframe systems and data structures. Advanced programming skills in Hadoop, SQL, Spark, and Python. Strong problem-solving and analytical skills. Experience with data modeling, warehousing, and performance tuning. Familiarity with Santander UK systems and processes is a strong advantage. … Preferred Qualifications:- Bachelors or Masters degree in Computer Science, Data Engineering, or related field. Certifications in SAS, Hadoop, or related technologies. Experience working in financial services or banking domain. Soft Skills:- Excellent communication and collaboration abilities. Ability to work independently and in a team-oriented environment. Strong attention to detail and commitment to quality. More ❯