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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior GCP Cloud Engineer - **Company:** OpenKyber LLC - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), BigQuery, Software as a Service, Cloud Computing, Cloud Engineering, Information Systems, Databases, Data Validation, Data Deduplication, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, Software Debugging, DevOps, Data Flow Control, JSON, Python (Programming Language), Meta-Data Management, Metadata Repositories, Queueing Systems, RabbitMQ, Cloud Services, Standard Sql, SQL Databases, SQL Server Integration Services, Data Streaming, Systems Integration, Talend, Unstructured Data, Extensible Markup Language (XML), Enterprise Data Management, Data Processing, Scripting, Google Cloud, Data Ingestion, Informatica Powercenter, Snowflake, Boomi, SOAPAPI, Information Technology, Data Lineage, Integration Frameworks, Apache Kafka, Apache Nifi, Spark Streaming, Data Pipelines, Mulesoft, Amazon Redshift - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8e9e7cd55410e754 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. * 4 8 years of experience in data integration, data engineering, with strong ETL and SQL. * Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi. * Proficient in SQL, Python, and scripting for data manipulation and automation. * Experience with cloud data platforms (Google Cloud Platform) and services such as Google Cloud Dataflow. * Familiarity with REST/SOAP APIs, JSON, XML, and flat file integrations. Preferred Skills: * Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis). * Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). * Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.). * Prior experience in industries like healthcare, fintech, or e-commerce is a plus. Soft Skills: * Strong problem-solving and debugging skills. * Excellent communication and collaboration abilities. * Ability to manage multiple priorities and deliver in a fast-paced environment. * Attention to detail and a commitment to delivering high-quality work. ## Description We are looking for a detail-oriented and technically skilled Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs., * Integration Design & Development Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms. * Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts. * Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming. Data Quality & Governance * Ensure high data quality, accuracy, and consistency during data ingestion and transformation. * Implement data validation, cleansing, deduplication, and monitoring mechanisms. * Contribute to metadata management, data lineage, and data catalog initiatives. Collaboration & Troubleshooting * Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions. * Troubleshoot and resolve data integration and pipeline issues in a timely manner. * Provide documentation and knowledge transfer for developed solutions. Platform & Infrastructure Support * Support data movement across hybrid environments (on-prem, cloud, third-party systems). * Work with DevOps or platform teams to ensure scalability, security, and performance of data integration infrastructure. ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [JSON and Beyond](https://www.wearedevelopers.com/videos/968-json-and-beyond) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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