Data Engineer Job at Vimerse, Greensboro, NC

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  • Vimerse
  • Greensboro, NC

Job Description

Key Responsibilities:

Data Architecture Design:

  • Design scalable and efficient data architectures that support the organization's digital platforms and applications.
  • Develop logical and physical data models that represent business processes and data flows.
  • Define data storage solutions, including relational databases, data lakes, data warehouses, and NoSQL databases, based on use cases and requirements.

Data Integration and Management:

  • Lead the integration of data from various sources, ensuring consistency, accuracy, and timeliness.
  • Implement data pipelines and ETL (Extract, Transform, Load) processes to facilitate data movement and transformation.
  • Manage and optimize the performance of databases and data storage systems, ensuring low latency and high availability.

Data Governance and Security:

  • Establish data governance frameworks, including data quality standards, data lineage, and metadata management.
  • Define and enforce data security policies, including data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, HIPAA).
  • Ensure data privacy and protection measures are in place, particularly for sensitive and personally identifiable information (PII).

Collaboration and Communication:

  • Work closely with business stakeholders, data scientists, data engineers, and software developers to understand data requirements and translate them into architectural solutions.
  • Provide guidance on data-related issues and best practices, ensuring alignment between data architecture and business objectives.
  • Document data architecture designs, data models, and processes for knowledge sharing and future reference.

Innovation and Continuous Improvement:

  • Stay informed about the latest data technologies, tools, and industry trends to drive innovation in data architecture.
  • Evaluate and recommend new data management technologies and platforms to improve the organization's data capabilities.
  • Lead efforts to improve data architecture, including refactoring, optimization, and migration of legacy systems to modern platforms.

Data Analytics and Reporting:

  • Support the development of data analytics platforms by ensuring that data architectures are designed for efficient querying and reporting.
  • Collaborate with data analysts and business intelligence teams to develop dashboards, reports, and data visualizations.
  • Implement data cataloging and discovery tools to enable self-service data access for business users.

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
  • Extensive experience in data architecture, data modeling, and database design.
  • Proficiency with data management tools and technologies, including relational databases (e.g., SQL Server, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud data platforms (e.g., AWS Redshift, Azure Synapse).
  • Strong understanding of data integration, ETL processes, and data warehousing concepts.
  • Knowledge of data governance practices, data security standards, and regulatory compliance requirements.
  • Experience with big data technologies, such as Hadoop, Spark, or Kafka.
  • Familiarity with data analytics tools, such as Tableau, Power BI, or Looker.

Preferred Qualifications:

  • Advanced degree (Master's or PhD) in a relevant field.
  • Certifications in data management or cloud platforms (e.g., AWS Certified Big Data Specialty, Google Professional Data Engineer).
  • Experience with machine learning and AI-driven data architectures.
  • Knowledge of microservices and API-driven data integration.
  • Proficiency in programming languages such as Python, Java, or Scala.

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