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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AWS Data Engineer with scrum skills- Onsite - **Company:** Cognizant Technology Solutions Corporation - **Location:** Hartford, CT, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, BigQuery, Health Informatics, Cloud Computing, Cloud Storage, Databases, Data Validation, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Profiling, Data Warehousing, Relational Databases, Database Development, Distributed Computing Environment, Data Flow Control, Microsoft SQL Server, Oracle (Applications), Scrum Methodology, Query Optimization, Cloudera, SQL Stored Procedures, Teradata SQL, Data Processing, Freeform SQL, Google Cloud, Database Optimization, Test Scripts, Change Data Capture, Health Level Seven International, AWS Data Analytics, Real Time Data, Data Delivery, Data Pipelines, Serverless Computing - **Published:** August 19, 2026 - **Apply:** https://dejobs.org/x/x/70C447DE991643EDB6C4492A1E982A4F/job/ ## About the Role Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you! ## Description We are seeking a highly skilled Senior GCP Data Engineer / ETL Lead with extensive experience in designing, developing, and supporting enterprise-scale data warehousing and data integration solutions. The ideal candidate will have deep expertise in Google Cloud Platform (GCP), SQL development, ETL frameworks, data validation, healthcare data processing, Agile methodologies, and Scrum practices . The candidate will be responsible for building scalable and reliable data pipelines, optimizing database performance, supporting data migration initiatives, and ensuring high-quality data delivery across enterprise healthcare platforms., Data Engineering & ETL * Design, develop, enhance, and support large-scale ETL/ELT data pipelines on GCP. * Build and optimize enterprise data warehouse solutions using BigQuery and cloud-native services. * Develop and maintain complex SQL queries, stored procedures, views, functions, and database objects. * Implement Change Data Capture (CDC) solutions for incremental data processing. * Design and maintain batch and real-time data integration solutions. * Analyze source-to-target mappings and implement data transformation rules. * Troubleshoot and resolve production ETL failures and performance issues. GCP Development * Develop cloud-native solutions using: * BigQuery * Cloud Storage * Cloud Composer * Dataflow * Dataproc * Pub/Sub * Cloud Functions * Build scalable distributed data processing applications. * Optimize cloud infrastructure for performance and cost efficiency. Data Warehousing & Database Management * Design dimensional and relational data models. * Support enterprise data warehouse architecture and modernization initiatives. * Perform database performance tuning and query optimization. * Work with multiple database platforms including: * Oracle * Teradata * SQL Server * BigQuery Data Quality & Validation * Conduct detailed data profiling and data quality assessments. * Develop data validation frameworks and reconciliation processes. * Perform root cause analysis for data discrepancies. * Create test cases, test scripts, and validation reports. * Ensure data accuracy, completeness, and consistency across systems. Healthcare Data Solutions * Support healthcare data integration projects. * Work with healthcare data standards and compliance requirements. * Participate in healthcare analytics, reporting, and data transformation initiatives. * Ensure adherence to HIPAA and healthcare data privacy regulations. ## Related Videos - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Making Data Warehouses fast. 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