Senior Data Engineer

4 weeks ago

Cincinnati, United States Golden Technology Full time

Our client is looking for a Data Engineer to join their team. If you specialize in Python or PySpark, data bricks and cloud-based data platforms, we’d love to hear from you This is a hybrid role in Cincinnati, OH.


Top skills you need to have:

  • Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with , where needed.
  • Experience designing, building, and deploying scalable cloud-based solution architectures
  • Expertise in creating lakehouses in Azure and building Realtime Streaming Analytics Platform leveraging Azure Services
  • Experience working with public cloud platforms such as AWS, Azure
  • Expertised in Python, SQL
  • Experience building data lakes & data warehouses to support operational intelligence and business intelligence
  • Experience working with Serverless Computing & Azure Functions
  • Experience with Cosmos DB, Azure Data Explorer, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Machine Learning or equivalent tools & technologies
  • Experience with Kafka and/or other event streaming mechanisms
  • Experience with monitoring/alerting techniques and APM tools
  • Experience automating infrastructure provisioning, DevOps, or Continuous Integration/Delivery
  • Knowledge of containerization and container orchestration technologies.
  • Expertise with Object Oriented Programming Skills and Design Patterns
  • Good understanding and/or experience writing software in one or more languages, such as Java, Go, JavaScript, C++, or similar
  • Familiarity with standard IT security practices such as identity and access management, SSO, data protection, encryption, certificate, and key management
  • Familiarity and good understanding of infrastructure – storage, networking etc.
  • Strong analytical problem-solving skills
  • Excellent written and verbal communication skills
  • Self-starter takes the initiative and works well under pressure
  • Business-minded approach to time, costs, and milestones
  • Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
  • Must be very organized, able to balance multiple priorities, and self-motivated
  • Azure Certifications in Associate and Expert levels for Data Services preferred
  • Familiarity or experience with building AI/ML solutions.


Key Responsibilities:

  • Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
  • Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
  • Design, develop, and implement integrations based on user feedback.
  • Collaborate with solution architects, cloud services, enterprise data management & product managers to iterate on the design & implementation of Fulfillment Services Data Strategy
  • Design Azure-based technical architectures, migration approaches, and application optimizations that enable the Product
  • Draft and review architectural diagrams, interface specifications and other design documents such as Architectural Decision Records
  • Focus on overall product’s data quality and user experience
  • Build standards, processes and procedures to deliver best results
  • Create data pipelines for various types of streaming use cases
  • Be a technical advisor and troubleshoot to resolve technical challenges with data product related infrastructure and application(s)
  • Promote the reuse of data assets, including the management of the data catalog for reference
  • Mentor team members in data principles, patterns, processes and practices
  • Implement automation tools and frameworks (CI/CD pipelines).
  • Troubleshoot production issues and coordinate with the development team to streamline code deployment.
  • Author and publish data governance models, data lineage and data dictionary for Fulfillment Services data catalog.

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