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Data Engineer

2 months ago

Cincinnati, United States Flexton Inc. Full time

Job Title: Data Engineer

Location: Blue Ash, OH – Day 1 Onsite.

Duration: 6+ Months - CTH


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 with 84.51, 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


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