Senior Specialist - Software Engineering

Data Engineer (Multi-Cloud & Data Integration) Job Summary We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and integrations across multi-cloud environments. The ideal candidate will be responsible for ensuring reliable, efficient, and cost-effective data delivery to support analytics, reporting, and business operations. This role requires strong expertise in Python, SQL, data warehousing concepts, ETL/ELT development, and cloud-based data platforms. Key Responsibilities Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across hybrid cloud environments, including AWS, Google Cloud Platform (GCP), and Oracle Cloud . Build scalable and reliable data integration solutions that support analytics, reporting, and operational use cases. Implement and maintain data quality frameworks, including validation, reconciliation, monitoring, and error-handling processes. Optimize pipeline performance, storage utilization, compute resources, and query efficiency, with particular emphasis on Google BigQuery cost and performance optimization . Create, maintain, and enhance workflow orchestration processes using Apache Airflow . Develop and maintain comprehensive technical documentation for data pipelines, workflows, and integration processes. Collaborate with cross-functional teams, including data analysts, architects, and business stakeholders, to understand data requirements and deliver effective solutions. Support deployment automation and code management using modern Git, CI/CD, and DevOps practices . Monitor and troubleshoot data workflows to ensure high availability, reliability, and data integrity. Required Skills & Qualifications Strong proficiency in Python and SQL . Hands-on experience designing and maintaining ETL/ELT pipelines . Experience working with cloud environments such as AWS, GCP, and/or Oracle Cloud Infrastructure (OCI) . Solid understanding of data warehousing concepts , including: Star Schema Design Dimensional Modeling OLTP vs. OLAP Architectures Experience with Google BigQuery optimization and performance tuning. Knowledge of data quality management, validation rules, and reconciliation processes. Experience with Apache Airflow for workflow orchestration and scheduling. Proficiency with Git , version control systems, and CI/CD pipelines . Understanding of modern DevOps methodologies and automation practices. Preferred Qualifications Experience working in multi-cloud or hybrid cloud environments. Knowledge of data governance, data security, and compliance best practices. Familiarity with infrastructure-as-code and cloud-native data services. Experience supporting analytics, business intelligence, and reporting platforms. Education & Experience Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Relevant experience in Data Engineering, Data Integration, or Cloud Data Platforms.