26 to 36 of 36 Contract Amazon S3 Jobs

implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further information on this opportunity More ❯

This is a remote position, UK. Skills needed: Previous working experience as a Technical Architect Experience producing LLDs Java and/or .net background Kafka/AWS Kinesis AWS, s3, Lambda Contract Details: Length: 4 Months initially Day Rate: £500 IR35: Outside Start Date: ASAP Please click here to find out more about our Key Information Documents. Please note More ❯

Test Analyst Strong SQL skills with Postgres JSON/JSONB operators. Proven experience in data analysis and reconciliation, ideally with ETL experience. Basic understanding of AWS services such as S3, QuickSight and Glue. Knowledge of JSON/Avro schemas and validation. Familiarity with Postman and PowerShell scripting. Apply To apply for the Test Analyst role, please send your CV More ❯

This is a remote position, UK. Skills needed: Previous working experience as a Technical Architect Experience producing LLDs Java and/or .net background Kafka/AWS Kinesis AWS, s3, Lambda Contract Details: Length: 4 Months initially Day Rate: £500 IR35: Outside Start Date: ASAP Please click here to find out more about our Key Information Documents. Please note More ❯

tools and techniques Knowledge of Accessibility testing for mobile applications Experience in working with API's and backend validations (Postman, REST Assured) Experience with Cloud tools such as AWS S3, CloudWatch and Browser Stack. Knowledge of Agile/Scrum Methodologies Excellent Problem-solving skills and attention to detail Strong Communication and Collaboration skills If you find this opportunity intriguing More ❯

Essential skills for Java Developers Strong expertise in Java (8/11/17+) and core libraries Proven experience with Spring Boot and microservices Strong background in AWS (EC2, S3, Lambda, IAM) Knowledge of Kafka or similar messaging systems Advanced SQL skills with query optimisation Experience building REST/JSON APIs Proficiency with Docker for local and cloud deployments … Excellent communication skills Nice-to-have skills for Java Developers Knowledge of JavaScript & ReactJS Familiarity with Amazon Aurora/RDS Experience with JUnit and testing frameworks To apply for the Java Developers role, please send your CV by pressing the apply button. More ❯

This role is ideal for someone with strong experience in data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight S3 Java SQL Relational databases GitHub/lab experience Experience with DevSecOps and building scalable data platforms Nice to have: Data quality expertise XML knowledge AWS Data Speciality certification Reasonable More ❯

background) Location: Canary Wharf, UK (Hybrid) (3 days onsite & 2 days remote) Role Type: 6 Months Contract with possibility of extensions Mandatory Skills : Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow, Energy Trading experience Job Description:- Data Engineer (Python enterprise developer): 6+ years of experience in python scripting. Proficient in developing applications in Python … such as NumPy, pandas, beautiful soup, Selenium, pdfplumber, Requests etc. Proficient in SQL programming, Postgres SQL. Knowledge on DevOps like CI/CD, Jenkins, Git. Experience working with AWS(S3) and Azure Databricks. Have experience in delivering project with Agile and Scrum methodology. Able to co-ordinate with Teams across multiple locations and time zones Strong interpersonal and communication More ❯

and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data … AWS: Staying up-to-date with the latest AWS services and technologies to improve data engineering solutions. Key Skills: AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying More ❯

and integrity of data migration. • Utilise strong SQL skills to manage data effectively, particularly with Postgres JSON/JSONB operators and functions. • Work with various AWS services such as S3, QuickSight, and Glue to manage and analyse data. • Validate data formats using JSON/Parquet and ensure compatibility with JSON/Avro schemas. • Use tools like Postman for API … in data analysis and reconciliation, ideally with an ETL background. • Must already hold SC clearance as part of the application process. Highly Desirable Skills: • Basic understanding of AWS services (S3, QuickSight, Glue). • Experience with JSON/Parquet validation and familiarity with JSON/Avro schemas. • Proficiency in using Postman. • Familiarity with PowerShell. More ❯

on AWS using serverless technologies such as Lambda, Glue, Glue Data Catalog, EMR serverless, and API Gateway. Implement and manage large-scale data processing with Spark (Iceberg tables in S3, Gold layer in Aurora Postgres). Collaborate with data scientists, analysts, and stakeholders to ensure data availability, accessibility, and reliability. Design and maintain robust data models that align with … Proven experience with relational databases (Aurora Postgres preferred), including performance optimisation. Extensive AWS experience, particularly with serverless data engineering tools (Lambda, Glue, Glue Data Catalog, EMR serverless, API Gateway, S3). Solid Spark experience with large-scale data pipelines and data lakehouse architectures (Iceberg format a plus). Hands-on experience with data modelling and designing scalable data architectures. More ❯