Senior Data Engineer on W2
2 days ago
Job Title: Data Engineer
Location: Blue Ash, OH, 45242, USA
Job Duration: 6 Month(s) - contract to hire
They will be working a hybrid schedule, in the office 2-3 day/week.
Soft Skills Needed - Self-starter, good communicator, willing to take ownership
Project person will be supporting - Seamless
Team details i.e. size, dynamics, locations - Majority of this team is located in Cincinnati
Work Location (in office, hybrid, remote) - This person will need to report to the office 3 days/week. This person will need to be based on Cincinnati. Candidates have to be local or relocate before they start their job.
Interview process and when will it start - This person will likely have a 1 step interview process with the HM and potentially a couple of other people joining. 2-3 hour Interviews will be done in person at location, preferably on Mondays and Tuesdays .
Top Skills:
Strong knowledge in object oriented programming - Must
Python Programming - Must
Advanced SQL
Azure - Azure function, Cosmos DB / Synapse preferable. Consider any cloud experience
DataBricks - desirable
CI / CD
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
Expertise 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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