Summary: Seeking a Senior Data Integration Engineer to guide the creation, refinement, and support of an enterprise data platform, enabling innovative data products. Highlights: 1. Guide creation and refinement of an enterprise data platform 2. Work with distributed teams across various time zones 3. Utilize Cognite Data Fusion and Azure services We are looking for a **Senior Data Integration Engineer** to guide the creation, refinement, and support of the Guyana Enterprise Data platform, enabling innovative data products and enhancing existing solutions. You will work closely with distributed teams spanning various time zones, utilizing Cognite Data Fusion, Azure services, and client\-specific environments to deliver high\-quality data solutions. If you thrive in data engineering with strong skills in integration and modeling, we encourage you to apply. **Responsibilities** * Design and develop scalable ETL/ELT pipelines within the enterprise data platform * Streamline and maintain data queries in Cognite Data Fusion leveraging SQL and GraphQL * Enforce secure coding practices and manage updates for cloud\-hosted environments * Coordinate with international teams across time zones to ensure timely data delivery * Administer and optimize queries for multiple relational database systems * Deploy and maintain applications on Azure and OpenShift infrastructures * Automate extraction and transformation workflows using Python, Azure Data Factory, and Databricks * Integrate backend services and REST APIs with operational databases and applications * Oversee ingestion, cleaning, and enrichment processes for structured and unstructured datasets * Construct and manage complex aggregate queries across extensive schemas * Monitor and resolve performance issues to keep data pipelines running reliably * Research and adopt emerging technologies to bolster platform capabilities * Ensure data models comply with industrial standards including OSDU and ISO 14224 * Engage with clients to align technical solutions with business needs * Document architectures, processes, and solutions in Azure DevOps within Agile workflows **Requirements** * Minimum 3 years of experience in data integration and ETL/ELT solution development * Proven ability to lead data engineering initiatives * Background in Agile methodologies and team collaboration * Hands\-on experience in Python with REST API creation * Proficiency in SQL and managing various relational databases * Understanding of object\-oriented programming and design principles * Experience working with Snowflake, NoSQL, and relational databases * Knowledge in industry\-standard data modeling approaches * Capability to process unstructured data using cloud storage * Familiarity with CI/CD practices for data pipeline deployments * Aptitude for troubleshooting intricate data\-related issues * Strong interpersonal skills for cross\-cultural work environments * Upper\-Intermediate (B2\) English proficiency for business communication **Nice to have** * Experience using Apache Spark for large\-scale data processing * Ability to develop clear architectural diagrams * Skill in Azure Data Factory and Azure Databricks * Understanding of Azure Data Share and PostgreSQL systems * Knowledge of integrating with Cognite Data Fusion