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Data Engineer

2 months ago

Cincinnati, United States LeadStack Inc. Full time

Job Details:

LeadStack Inc. is an award-winning, one of the nation's fastest-growing, certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.


Title:Data Engineer

Location: Cincinnati OH

Duration: 6 months to hire - candidate should be available to work without sponsorship


Interview Process:

Programming interview in person - 2-3 hours onsite in Cincinnati OH

5-6 panel then a technical assessment of 4-5 engineers 30-45 mins of technical questions + pair programming in Python and SQL coming up with the logic and solving the problems



Job Description:


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 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.
  • 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
  • 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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