of pandas is a plus. AWS: Experience with AWS services like Lambda, S3, ECS, SNS, SQS, CloudWatch, Kinesis for application development. Databases: Experience with NoSQL databases (MongoDB, DynamoDB) and RDBMS (MySQL, PostgreSQL). Microservice Architecture: Clear understanding and experience in microservices design and implementation. REST API Development: Ability to develop More ❯
JVM-based infrastructure in AWS, GCP, and other public clouds. Expertise in Linux Operating Systems, Networking, and Database concepts. Experience with Cassandra (or another NoSQL alternative). Expertise in cloud providers, such as Amazon Web Services, Azure, and GCP. Experience with configuration management systems such as Ansible or Puppet. Experience More ❯
and tool Experience in data centric and API programming (for automation) using one of more programming languages Python, Java/or Scala. Knowledge of NoSQL and RDBMS databases Experience in different data formats (Avro, Parquet) Have a collaborative and co-creative mindset with excellent communication skills Motivated to work in More ❯
and tool Experience in data centric and API programming (for automation) using one of more programming languages Python, Java/or Scala. Knowledge of NoSQL and RDBMS databases Experience in different data formats (Avro, Parquet) Have a collaborative and co-creative mindset with excellent communication skills Motivated to work in More ❯
of experience in cloud architecture and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Experience in database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design, and implementation of serverless distributed solutions Experience in software development with object-oriented language PREFERRED QUALIFICATIONS AWS More ❯
Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions Nice to Have: Experience with graph databases, Hadoop/Spark, or enterprise data lake More ❯
Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience in coding with Python and React.js. Knowledge of databases (SQL & NoSQL) and API development/integration. Familiarity with enterprise architecture design and delivery (Azure, GitHub, etc). Proven experience in building cloud applications using Microsoft Azure More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Randstad Digital UK
Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions Nice to Have: Experience with graph databases, Hadoop/Spark, or enterprise data lake More ❯
london, south east england, United Kingdom Hybrid / WFH Options
GAIL's
Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience in coding with Python and React.js. Knowledge of databases (SQL & NoSQL) and API development/integration. Familiarity with enterprise architecture design and delivery (Azure, GitHub, etc). Proven experience in building cloud applications using Microsoft Azure More ❯
experience with Python and React.js (3+ years). Hands-on experience with Microsoft Azure and cloud-native architectures . Solid understanding of SQL/NoSQL databases , APIs, and integration techniques. Comfortable with DevOps tooling – GitHub, CI/CD pipelines, cloud infrastructure. Exposure to data science , AI/ML integrations, and More ❯
london, south east england, United Kingdom Hybrid / WFH Options
TechNET IT Recruitment Ltd
experience with Python and React.js (3+ years). Hands-on experience with Microsoft Azure and cloud-native architectures . Solid understanding of SQL/NoSQL databases , APIs, and integration techniques. Comfortable with DevOps tooling – GitHub, CI/CD pipelines, cloud infrastructure. Exposure to data science , AI/ML integrations, and More ❯
principles, and resolving monolith vs. microservices trade-offs. Experience in code review. Experience with unit, E2E, and UI testing frameworks. Experience with SQL and NoSQL databases. Best practices in building scalable mobile APIs (REST, HTTPS, etc.). Good principles of security management (secrets, protocols, etc.). Experience with some Python More ❯
Skills & Experience needed as a Software Engineer at Thredd: Strong C#, Microsoft .NET, Python, Rest API, Graph QL, Identity Server expertise Experience with SQL, NoSQL databases MS SQL server, Dynamo DB, MySQL, Entity Framework, Dapper, RabbitMQ Experience with using software design tools and techniques such as C4 Modelling, scenario trace More ❯
Solid knowledge of Linux systems and shell scripting. Proficiency in programming languages such as Python, Go, or Java . Experience working with SQL and NoSQL databases . Background in deploying and maintaining highly available, scalable production environments . Desirable Skills Experience with advanced deployment strategies such as canary releases or More ❯
and Python . Experience in using cloud services (e.g. AWS ) Experienced or interested in building API’s . Experience with various data stores (SQL, NoSQL) and API integration patterns. Exposure to BI tools and data visualization libraries/frameworks is a plus. Familiarity with agile methodologies and version control systems More ❯
and Python . Experience in using cloud services (e.g. AWS ) Experienced or interested in building API’s . Experience with various data stores (SQL, NoSQL) and API integration patterns. Exposure to BI tools and data visualization libraries/frameworks is a plus. Familiarity with agile methodologies and version control systems More ❯
experience in building complex systems. Be proficient in programming languages such as Scala, Python, Java, or C#. Have knowledge of data management platforms (SQL, NoSQL, Spark, etc.). Be familiar with modern software tools (Git, CI/CD pipelines). Communicate complex concepts effectively to technical and non-technical audiences. More ❯
read and review code, paired programming, and debugging code related performance issues, SQL tuning, etc. Experience with AWS services such as S3, RDS, Aurora, NoSQL, MSK (Kafka). Experience with batch processing/ETL using Glue Jobs, AWS Lambda, and Step functions. Experience with designing bespoke & tailored front-end solutions More ❯
a team and delivering projects with a commercial mindset. Prior experience with Event Sourcing (Kafka, Akka, Spark) and Data Distribution based architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite) and relational (Sybase, DB2, SybaseIQ) data store solutions. Strong knowledge of data structures, algorithms, and design patterns Experience More ❯
knowledge of Object oriented programming - Java, Spring and associated back end technologies Strong knowledge of Relational DB technologies - SQL, Oracle, and working knowledge on noSql databases Strong knowledge on UI technologies - Typescript, React, Vite, Jest and associated libraries/frameworks Knowledge on MQ, Kafka Hands-on practical experience in system More ❯
refactor existing data pipelines for greater performance and reliability. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of More ❯
Security: Comprehensive understanding of cloud networking and security principles, including security best practices for AI/ML workloads. Database Management: Experience with SQL and NoSQL databases, including database solutions for AI/ML applications (e.g., vector databases). Experience with enterprise architecture frameworks and methodologies. Responsibilities: Customer Engagement: Partner with More ❯
strategies and sales plays An ability to scope and estimate engagements and build relevant commercial models for customers General knowledge of Databases (RDBMS, SQL, NoSQL) Experience and knowledge of the software development lifecycle and associated development methodologies (e.g. Agile, Waterfall) Knowledge of software architecture including both cloud and on-premise More ❯
