STRIIM Developer , Inside IR35, Hybrid

Reading, Oxfordshire
Amysoft Limited

We seek a skilled STRIIM Developer to join our client in Utilities sector on a hybrid mode. And contribute to developing and implementing real-time data integration and streaming solutions using the STRIIM platform. As a STRIIM Developer, you will be responsible for understanding business requirements, architecting data integration solutions, and implementing them using the STRIIM platform. You will work closely with cross-functional teams to ensure the efficient and effective delivery of high-quality data integration solutions.

VISA IS NOT SPONSORED

Responsibilities:

Design, develop, and implement real-time data integration and streaming solutions using the STRIIM platform.
Collaborate with business analysts, data engineers, and other stakeholders to understand and translate data integration requirements into technical specifications.
Architect and configure STRIIM pipelines, including data ingestion, transformation, and delivery processes.
Develop custom code, scripts, and transformations as needed to support data integration workflows.
Optimize and fine-tune STRIIM processes to ensure high performance and scalability.
Troubleshoot and resolve issues related to data integration processes, including error handling, data quality, and performance bottlenecks.
Collaborate with the infrastructure team to ensure the availability, reliability, and security of the STRIIM platform.
Stay up-to-date with the latest trends and technologies in data integration, streaming, and real-time analytics.
Requirements:

Bachelor’s degree in Computer Science, Information Technology, or a related field.
Proven experience as a STRIIM Developer or similar role.
Strong knowledge of the STRIIM platform, including its architecture, components, and capabilities.
Proficiency in programming languages such as Java, Python, or SQL.
Experience with real-time data integration and streaming technologies.
Familiarity with databases, data warehouses, and ETL/ELT processes.
Solid understanding of data modelling and data integration best practices.
Excellent problem-solving and troubleshooting skills.
Strong communication and collaboration abilities.
Ability to work effectively in a fast-paced and dynamic environment.
Preferred:

Certification in STRIIM or relevant data integration technologies.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of big data technologies like Hadoop, Spark, or Kafka.