Title: Azure Data Engineer

Location: Cincinnati, OH (Hybrid)

Duration: 12+ months

Interview: Video

VISA: USC OR GC

Exp.: 10+

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.
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

Priyanka

Sr. Recruiter

Phone: 2015814821

Email: