Data Engineer III

8 hours ago

Vienna, Virginia, United States Navy Federal Credit Union Full time
About the Role

Navy Federal Credit Union is seeking a highly skilled Data Engineer III to join our team. As a Data Engineer III, you will be responsible for designing, building, and integrating data solutions in the cloud. You will work closely with business leadership to understand data requirements and develop solutions that drive business objectives.

Key Responsibilities
  • Design and implement robust, scalable, and fault-tolerant data streaming architectures.
  • Develop and maintain end-to-end data pipelines for real-time data ingestion and processing.
  • Collaborate with cross-functional teams to understand business requirements and translate them into efficient streaming solutions.
  • Monitor and optimize streaming data performance to ensure low latency and high throughput.
  • Design and implement streaming data workflows to process data on cloud data sources, monitor data quality, and implement related controls.
  • Prioritize intake efforts and issue resolution with data engineers.
  • Interpret data presented in models, charts, and tables and transform it into a format that is useful to the business and promotes effective decision making.
  • Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies.
  • Document best practices for data models, data loads, query performance, and enforce with team members.
  • Evaluate existing schema designs on multiple environments, improve data models, and implement optimizations.
  • Apply engineering principles into the design and enhancement of new and existing data systems.
  • Ensure the security and integrity of system and product solutions, including compliance with Navy Federal, industry engineering, and Information Security principles and practices.
  • Present clear, organized, and concise information to all audiences through a variety of media to enable effective business decisions.
Requirements
  • Bachelor's degree in information systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training, and experience.
  • Proficiency in programming languages such as Python and Spark.
  • In-depth knowledge of streaming data concepts and architecture.
  • Expertise in working with distributed systems and streaming frameworks, with a focus on Apache Kafka and Apache Flink.
  • Expertise with real-time data processing in the cloud (Azure Event Hubs, Azure Stream Analytics, Azure Functions, or similar).
  • Problem-solving skills to address issues related to data consistency and scalability.
  • Experience in Data Lake (Azure or similar), ETL tools (Azure Data Factory, Azure Databricks, or similar), Data Warehouse (Azure Synapse or similar), and Big Data skills (Spark, etc.) for querying and manipulating datasets.
  • Experience in Data Modeling, Data Governance (Azure Purview or similar), Data Quality, and Data Integration.
  • Experience in other programming languages (SQL, Java, etc.) to process data.
  • Experience in integrating structured, semi-structured, and unstructured data sources to deliver analytics solutions using Data Lake, Data Warehouse, and NoSQL Data Hubs (Azure Cosmos DB or similar).
  • Experience with processing various file types in Data Lake (Delta, Parquet, or similar).
  • Experience in monitoring performance of data workflows and infrastructure through the use of monitoring tools (Azure Monitor or similar) and enabling alerts for prompt resolution.
  • Experience with DevOps toolset (Azure DevOps or similar) to collaborate and deploy code.
  • Ability to communicate end-to-end data outcomes visually.
  • Skilled in managing the process between updating and maintaining data source systems and implementing data-related requirements.
Desired Qualifications
  • Master's degree in information systems, Computer Science, Engineering, or related field.
  • Knowledge of Navy Federal Credit Union instructions, standards, and procedures.

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