Data Integration Engineer

October 1

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Amentum

WebsiteLinkedInAll Job Openings

10,000+

💰 Private Equity Round on 2020-01

Description

• Amentum is seeking a dynamic, motivated, energetic and driven Data Integration Engineer! US Citizenship is required to apply. • Design, develop and implement enterprise data integration architectures to facilitate data communication, collection, storage, and management. • Utilize technologies to facilitate enterprise data APIs, spark notebooks, dataflows, data lakes, SQL Serverless, and data warehouse processes and artifacts from internal and external data sources. • Focus on data integration between key business data sources, applications, services, and systems utilizing API-based architecture. • Oversight of API development, management, security, orchestration within the application-to-application integration and application to data warehouse environments. • Collaborate with data engineers and analysts to understand data needs and deliver tailored data resources for analytics and reporting purposes. • Optimize data integration processes for improved performance, scalability, and reliability, utilizing best practices in data engineering. • Implement data privacy and security measures in compliance with regulatory requirements and company policies. • Troubleshoot and resolve issues related to data integration, including performance bottlenecks and data discrepancies. • Document data integration processes, including data flow diagrams and data models, to ensure clarity and maintainability for future modifications. • Develop and maintain ETL (Extract, Transform, Load) processes and data workflows that ensure efficient and error-free data transfer between systems.

Requirements

• Bachelor's degree in Computer Science or related field and 5 years of experience. • Excellent communications and analytical skills; • demonstrated working knowledge and experience of several of the following technologies/tools is desired: API-based Integration, API Management • File transfer Tools: GoAnywhere, MuleSoft, Boomi, WebsphereMQ, RabbitMQ, Apigee. • REST/SOAP API • Knowledge of Async vs Sync integration • Event driven integration • Microsoft SQL (T-SQL) • Oracle SQL (PL-SQL) • Azure Synapse • Azure ADLS • Azure Pipelines • Azure Spark Notebooks (SCALA, Python, Spark SQL) • JSON Files • Parquet Files • Delta Lake Files • Data Vault 2.0 • SQL Serverless • Synapse Data Warehouse (MPP - Dedicated) • Microsoft DevOps and GitHub • Agile Development • Data Encryption / Decryption